Newform data - 3024.2.b.o

Formats: - HTML - YAML - JSON - 2025-09-29T08:26:48.023897

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 12096, 'analytic_conductor': 24.14676157123519, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 28, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [3024, 2, [1135, 757, 785, 2593], [1, 2, 2, 1]], 'cm_discs': [], 'conrey_index': 1567, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [3, 0, 1]], [11, [12, 0, 1]], [13, [12, 0, 1]], [17, [3, 0, 1]], [19, [2, 1]], [29, [-6, 1]], [47, [3, 1]]], 'hecke_orbit': 15, 'hecke_orbit_code': 63050463536221136, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 28, 4, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3024.2.b.o', 'level': 3024, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '3024.2.b.b', 'nf_label': '2.0.3.1', 'prim_orbit_index': 4, 'qexp_display': 'q-\\beta q^{5}+(\\beta+2)q^{7}-2\\beta q^{11}+2\\beta q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3024.2.b', 'trace_display': [0, 0, 0, 4], 'trace_hash': 1513355223510874832, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.872', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.214', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '135.544', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.515', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 12, 0, 4, 0, 0, 0, 6, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 2, 0, 0, 0, 24, 0, -12, 0, 0, 0, 6, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -18, 0, -6, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -14, 0, 0, 0, 12, 0, 0, 0, 0, 0, 6, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 12, 0, 28, 0, 0, 0, 24, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, 2, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 2, 0, 0, 0, 36, 0, -40, 0, 0, 0, 24, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 8, 0, 0, 0, 12, 0, 20, 0, 0, 0, 24, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 38, 0, 0, 0, -24, 0, 44, 0, 0, 0, 18, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, -36, 0, -64, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -36, 0, 10, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 32, 0, 0, 0, 48, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42, 0, -24, 0, 0, 0, 12, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -54, 0, 20, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -24, 0, 0, 0, -60, 0, -36, 0, 0, 0, 24, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 36, 0, 0, 0, -12, 0, -8, 0, 0, 0, 78, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -66, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 46, 0, 0, 0, 36, 0, 24, 0, 0, 0, 48, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, -6, 0, 0, 0, -24, 0, 12, 0, 0, 0, 24, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -72, 0, -8, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -44, 0, 0, 0, -48, 0, -68, 0, 0, 0, 24, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, -48, 0, 0, 0, -84, 0, 80, 0, 0, 0, 96, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -72, 0, 20, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -18, 0, 0, 0, -60, 0, -4, 0, 0, 0, 48, 0, -38, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42, 0, 32, 0, 0, 0, 24, 0, 4, 0, 0, 0, -6, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -54, 0, 10, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 96, 0, 0, 0, -60, 0, 16, 0, 0, 0, 24, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -102, 0, 14, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -72, 0, 0, 0, 12, 0, 72, 0, 0, 0, 42, 0, 46, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, -30, 0, 0, 0, 12, 0, -60, 0, 0, 0, 24, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, -24, 0, 0, 0, 24, 0, -54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 56, 0, 0, 0, -96, 0, -48, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -48, 0, -10, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 110, 0, 0, 0, -36, 0, -76, 0, 0, 0, 72, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 54, 0, 0, 0, 0, 0, -32, 0, 0, 0, 24, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -66, 0, -28, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -116, 0, 0, 0, -12, 0, 52, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, -78, 0, 0, 0, 48, 0, 4, 0, 0, 0, 66, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -12, 0, 48, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -28, 0, 0, 0, 84, 0, 48, 0, 0, 0, 72, 0, -106, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42, 0, 4, 0, 0, 0, -24, 0, 56, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -78, 0, -24, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 72, 0, 0, 0, 72, 0, 44, 0, 0, 0, 6, 0, 94, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, -24, 0, 0, 0, 96, 0, 60, 0, 0, 0, 102, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 6, 0, -18, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -72, 0, 0, 0, 24, 0, -84, 0, 0, 0, 72, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -80, 0, 0, 0, 60, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -66, 0, 2, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 4, 0, 0, 0, -12, 0, 92, 0, 0, 0, -24, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 146, 0, 0, 0, 156, 0, -24, 0, 0, 0, -72, 0, 146, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66, 0, 2, 0, 0, 0, 0, 0, 24, 0, 0, 0, 66, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 6, 0, 80, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -110, 0, 0, 0, 60, 0, 40, 0, 0, 0, 18, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42, 0, -64, 0, 0, 0, -120, 0, -144, 0, 0, 0, -42, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -54, 0, 94, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -32, 0, 0, 0, 24, 0, 108, 0, 0, 0, -48, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66, 0, 88, 0, 0, 0, 96, 0, 100, 0, 0, 0, 48, 0, 0, 0, 0, 0, -96, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [0, 0], [0, 0], [0, -1], [0, 0], [2, 1], [0, 0], [0, 0], [0, 0], [0, -2], [0, 0], [0, 2], [0, 0], [0, 0], [0, 0], [0, -1], [0, 0], [-2, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [2, 0], [0, 0], [0, 0], [0, 0], [6, 0], [0, 0], [2, 0], [0, 0], [0, 0], [0, 0], [3, -2], [0, 0], [1, 0], [0, 0], [0, 0], [0, 0], [0, -3], [0, 0], [0, -1], [0, 0], [0, 0], [0, 0], [-3, 0], [0, 0], [1, 4], [0, 0], [0, 0], [0, 0], [12, 0], [0, 0], [-6, 0], [0, 0], [0, 0], [0, 0], [3, 0], [0, 0], [0, -6], [0, 0], [0, 0], [0, 0], [6, 0], [0, 0], [0, -6], [0, 0], [0, 0], [0, 0], [0, 8], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [6, -4], [0, 0], [0, 1], [0, 0], [0, 0], [0, 0], [-9, 0], [0, 0], [-3, 0], [0, 0], [0, 0], [0, 0], [0, -4], [0, 0], [-6, 4], [0, 0], [0, 0], [0, 0], [0, 2], [0, 0], [0, 2], [0, 0], [0, 0], [0, 0]], 'ap': [[0, 0], [0, 0], [0, -1], [2, 1], [0, -2], [0, 2], [0, -1], [-2, 0], [0, 0], [6, 0], [2, 0], [1, 0], [0, -3], [0, -1], [-3, 0], [12, 0], [3, 0], [0, -6], [0, -6], [0, 8], [0, 0], [0, 1], [-9, 0], [0, -4], [0, 2], [0, -8], [8, 0], [0, 4], [-7, 0], [6, 0], [0, 5], [0, 0], [6, 0], [14, 0], [18, 0], [0, -9], [0, -10], [0, 13], [-15, 0], [0, -12], [0, -10], [0, 4], [0, -4], [1, 0], [18, 0], [-20, 0], [0, -14], [10, 0], [12, 0], [0, 8], [6, 0], [0, -14], [0, 14], [-27, 0], [0, 12], [0, 10], [0, -3], [-16, 0], [19, 0], [-12, 0], [22, 0], [0, -15], [-32, 0], [21, 0], [0, 8], [0, 0], [0, 7], [5, 0], [0, 14], [0, 4], [0, 7], [0, -4], [16, 0], [11, 0], [0, 7], [-21, 0], [6, 0], [0, 16], [-36, 0], [0, -4], [-27, 0], [10, 0], [0, 4], [0, -10], [16, 0], [0, 14], [-30, 0], [-22, 0], [0, 17], [0, 5], [-12, 0], [39, 0], [0, 10], [0, -6], [0, -9], [-33, 0], [0, 17], [0, 13], [-34, 0], [7, 0], [0, -3], [-12, 0], [12, 0], [-24, 0], [0, -7], [0, 0], [-36, 0], [0, 13], [0, -14], [0, -22], [-14, 0], [-22, 0], [-24, 0], [-34, 0], [0, 17], [-42, 0], [40, 0], [48, 0], [-6, 0], [0, 0], [0, 18], [10, 0], [0, -8], [0, -6], [14, 0], [-30, 0], [-19, 0], [-21, 0], [2, 0], [0, -4], [0, 26], [0, 22], [0, -14], [5, 0], [0, 25], [0, 20], [0, -9], [8, 0], [0, 0], [0, 0], [2, 0], [0, 0], [0, 25], [0, 2], [0, -10], [-51, 0], [0, 24], [0, 3], [40, 0], [0, 24], [23, 0], [0, 28], [0, -5], [-15, 0], [0, 11], [0, 18], [0, -21], [0, -5], [0, 34], [0, 13], [0, -8], [36, 0], [0, 6], [27, 0], [-48, 0], [39, 0], [0, -9], [0, -6], [-5, 0], [0, -17], [0, -20], [0, -18], [0, 18], [55, 0], [-38, 0], [0, -9], [0, 22], [0, 0], [-16, 0], [0, 4], [0, -19], [-33, 0], [-14, 0], [0, -3], [0, -26], [0, -11], [-58, 0], [26, 0], [-2, 0], [33, 0], [0, -10], [0, -12], [0, 11], [0, 15], [0, 36], [0, -37], [-14, 0], [-53, 0], [0, -8], [-21, 0], [-12, 0], [28, 0], [0, -32], [0, 0], [-39, 0], [0, 13], [34, 0], [0, -32], [36, 0], [22, 0], [47, 0], [0, -12], [0, -21], [15, 0], [51, 0], [0, 18], [0, 23], [0, 20], [0, -42], [12, 0], [5, 0], [-10, 0], [30, 0], [0, -25], [-33, 0], [1, 0], [0, -37], [0, 4], [44, 0], [0, 6], [2, 0], [46, 0], [0, 43], [48, 0], [-44, 0], [60, 0], [0, 4], [54, 0], [0, 16], [-33, 0], [0, 20], [68, 0], [-62, 0], [22, 0], [0, -4], [-3, 0], [56, 0], [-51, 0], [0, -7], [0, -32], [-19, 0], [0, -4], [0, -8], [0, 12], [0, -29], [0, 26], [-65, 0], [-44, 0], [0, -16], [0, 40], [0, -34], [0, 32], [0, 36], [0, -22], [0, -4], [-64, 0], [-36, 0], [0, -32], [0, -7], [48, 0], [0, 34], [0, -34], [0, -10], [0, 39], [0, 4], [14, 0], [0, -10], [73, 0], [73, 0], [33, 0], [33, 0], [0, 1], [3, 0], [0, -48], [-28, 0], [0, -4], [-55, 0], [30, 0], [20, 0], [0, -5], [-60, 0], [-21, 0], [66, 0], [-27, 0], [47, 0], [0, 11], [4, 0], [0, -3], [33, 0], [50, 0], [0, 34], [-48, 0], [0, -50]], 'char_orbit_index': 2, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 63050463536221136, 'hecke_ring_character_values': [[1135, [-1, 0]], [757, [1, 0]], [785, [1, 0]], [2593, [-1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 2], 'hecke_ring_inverse_numerators': [[1, 0], [1, 1]], 'hecke_ring_numerators': [[1, 0], [-1, 2]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '3024.2.b.o', 'level': 3024, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 12096, 'analytic_conductor': 24.14676157123519, 'char_conductor': 28, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [3024, 2, [1135, 757, 785, 2593], [1, 2, 2, 1]], 'conrey_index': 1567, 'cusp_dim': 540, 'dim': 64, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13, 17, 19, 29, 47], 'hecke_orbit_code': 68753034192, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 8, 8], 'label': '3024.2.b', 'level': 3024, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 612, 'mf_new_dim': 64, 'num_forms': 22, 'prim_orbit_index': 4, 'relative_dim': 64, 'sturm_bound': 1152, 'trace_bound': 47, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -332, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 372, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 1034544
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 2, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '3024.2.b.o', 'source_level': 3024, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3024.2.b.b', 'target_level': 3024, 'twist_class_label': '3024.2.b.b', 'twist_class_level': 3024, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1034545
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 2, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '3024.2.b.o', 'source_level': 3024, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3024.2.b.b', 'target_level': 3024, 'twist_class_label': '3024.2.b.b', 'twist_class_level': 3024, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1034546
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 2, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '3024.2.b.o', 'source_level': 3024, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '3024.2.b.d', 'target_level': 3024, 'twist_class_label': '3024.2.b.b', 'twist_class_level': 3024, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1034547
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 2, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '3024.2.b.o', 'source_level': 3024, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '3024.2.b.d', 'target_level': 3024, 'twist_class_label': '3024.2.b.b', 'twist_class_level': 3024, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1034548
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 2, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '3024.2.b.o', 'source_level': 3024, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': True, 'target_label': '3024.2.b.m', 'target_level': 3024, 'twist_class_label': '3024.2.b.b', 'twist_class_level': 3024, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1034549
    {'conductor': 84, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 2, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '3024.2.b.o', 'source_level': 3024, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': True, 'target_label': '3024.2.b.m', 'target_level': 3024, 'twist_class_label': '3024.2.b.b', 'twist_class_level': 3024, 'twisting_char_label': '84.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1034550
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 2, 'source_dim': 2, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '3024.2.b.o', 'source_level': 3024, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 15, 'target_is_minimal': True, 'target_label': '3024.2.b.o', 'target_level': 3024, 'twist_class_label': '3024.2.b.b', 'twist_class_level': 3024, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1034551
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 2, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '3024.2.b.o', 'source_level': 3024, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 15, 'target_is_minimal': True, 'target_label': '3024.2.b.o', 'target_level': 3024, 'twist_class_label': '3024.2.b.b', 'twist_class_level': 3024, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2964575
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 2}
  • id: 2964576
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 3}
  • id: 2964577
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 5}
  • id: 2964578
    {'charpoly_factorization': [[[7, -4, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 7}
  • id: 2964579
    {'charpoly_factorization': [[[12, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 11}
  • id: 2964580
    {'charpoly_factorization': [[[12, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 13}
  • id: 2964581
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 17}
  • id: 2964582
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 19}
  • id: 2964583
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 23}
  • id: 2964584
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 29}
  • id: 2964585
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 31}
  • id: 2964586
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 37}
  • id: 2964587
    {'charpoly_factorization': [[[27, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 41}
  • id: 2964588
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 43}
  • id: 2964589
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 47}
  • id: 2964590
    {'charpoly_factorization': [[[-12, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 53}
  • id: 2964591
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 59}
  • id: 2964592
    {'charpoly_factorization': [[[108, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 61}
  • id: 2964593
    {'charpoly_factorization': [[[108, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 67}
  • id: 2964594
    {'charpoly_factorization': [[[192, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 71}
  • id: 2964595
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 73}
  • id: 2964596
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 79}
  • id: 2964597
    {'charpoly_factorization': [[[9, 1], 2]], 'hecke_orbit_code': 63050463536221136, 'p': 83}
  • id: 2964598
    {'charpoly_factorization': [[[48, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 89}
  • id: 2964599
    {'charpoly_factorization': [[[12, 0, 1], 1]], 'hecke_orbit_code': 63050463536221136, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 2, 'hecke_orbit': 15, 'label': '3024.2.b.o', 'level': 3024, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEh8wXyezsAAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vGXZWd6Jf1fYe594U93K1VXV1Tmpu9VqtXJOIMsSSCJYJphoNNieYWyCMWPMGAMa26QxBoQQkoVASAgFlLulzuqcQ+Wc68aTzw5r/f5YO557W5IZ8Wtg5nx0dMK91fecvZ/9rOd93rAE/9/t23b7xGfvQkqx+cn9x6dtYu22DR6+J3n4SI9XvWBOvOTq1uKdjyRs27C04aarTtnH92+n5ks2bxjQaibCyMtWwZ7bsO2VAFuBFWAohHi+v9rf25t+vj/A35fbwaNnAS42JtlsEWYwDPnLT/4Vl207ze6tS9SUz+GTn4yW7Qt/edhf/kda2OjUWZ/Nc4JoMKK3GvunTi184MQpgUhGP3piqh+eObfA1g1wfBQy1Uq8UXz0r3/nQ3t/+ZmTnxK/9R9+7DfOnTry8Vr8+MP91X3KEoAQUknvHHCk3tr2fB+Svxe3/48anuP27MELWFGb8eyRVw2Wn0AJGZ1anv7feiP5RiksYRTzyCOP0aqvcOm2Dis9xYnzdTBj4ihmtm3Zd8LnmosTzlyQzE7FtJsBh85oEhMx3xKcXoy4do/hwAnJ3JTB931qNc2RC5KVPly+KeaynbNccdULsHhoBYNQf2XvkdFvJjbxXvuKa7l09/Y7seMVITc934fs7+Tt/wN4eltZWcDCm1vN8SVHjvbMf/idvzDvefPUxf3xpp/vdw/RrPkcPXGWbneRMNIsDySJ9al5lnZgOd+NOXBmxLa5GtN1hRIR81M+l12kGIxAyDGnLmhGIZxeFCh8huOISy6ybJ7tI5E0GyFbNvbYd2yOpZU6zVpCoCMGI0OnrwjjmJnZeZqtbSg95prLLubxfYu/fsvlZ4/suOwHZSim5baN+hDwpan2huf7kP6duP2/HuDPPnk3UohXLa2Gb3rq0OK7rrr4whXjvs8HPrmfl1y7wsIFj+MLA7ZvUDQCmJ82nFoOUNIihWHrTMLx8zWaDcvDh8YMxoKaD4urcPG8plEP2Dwf86pruzxzZIqH9wqePR7z0msStm0wNJuCizavsLCiqAUwHFse3beBVl1y+LzPltkRUoCvEs4uKaaaMZKEbZsiFhZbDK3hNdc3Ob58NbVWwiteML3v3PLGT4Sx/LIQ3PnmN776+T7Ez+vt/3UA7/U61GvB7NlzC//pD//Hl/0DJ55NfuJttRcur0zd9GdfOMfmjcd43fVNbntomqFZ5Y0v1Nz9eI09O4b0hx5nlhXjSBDomKt2JGyaHbPUkzx+eIooFly2bcT5nuK6PUMOHPXojjThGG6+qs/+kw3a9ZC9pzS3XC4JozHdkebxY5IbdiV0eh6XbA8JI8mTRwSLvRpbZuCKi3r4WhJGcHbZozeOuXSrxx2PW153U5/xcJov3D/g1Tetcv2eHTx4YBuLw8HD3/vaxUc2z1+vNlz0lrDRmvu3SRwuz85MPd+n4P+vt3/wQebhI8fwPS0+8dm7ec2Lx0oMv/R7h47oyx989OwrTh4/pc6e73Lw+Ek2t9psm2vy2KENvOqGZV54xRRferDFQ4cG7NpiOXNBs3WjZXDaElnLOPI4uSDZNDdGCMtl28c8e0QT+EP2bPE5t+Ax0xbcclXEEwcNTx5uM4h67Nwc8gJvitOL8PiBOpfvjLloAxw+L6gHEQjFgVMaS4S0ITvmLa06KBHiKY/OEHZsVBw7I7jpih4zjSZfeUrQnop46TVtHnkG7n7kMDt29G6yob5p776jnLn/rxK/teOq1TjY//6Pfuy9r7yKZH7Hq7Amths3X/R8n6K/1ds/SICvrpxBSSVHw27t4x/5D+M3vv0X/3WSJD/wS//9aPSL/2T/lTUxXeuvBLR8GA0kjx6AH3hDn2svaXFmqcatDwd89ytWuX7PHF99zOeSHQM2T7c4dibm5itC9p30mW5GgOTpYw22zhqWVjT3PpNw70G4bqflqh2S5Z7g7mclr70mYrqpWOm1OHlWs9q1KC/kB9+ywvFzbVZ7ghsvH3HdJQt4zHBucZ6TC3DVLsMwlBw9FzDT0Ow9Jbl8B/R6kst3LrJ7a42vPuRzbGnIO19lOL84w95j0Bkn3HBJiDB19h0Z8MzhferghSOvbs0MbvmvP9W4OTEv9Mbj8f94+/f//H9++pmDwczs1CiOY7Pron94zsw/KIkSJwYhhbTxynR3+dBLhiP5/gMHjsT3PXRw7vFnz7afOh4zM7/Iv/u+MTbZxhMH6jx+IOLAuSFvemmHl1/Z5In909z5ZMj0XJ/vepnkqX0t7n56yJV7YrbP1sEOEVrgSc2hs5qN7YTO2NKqjTl+IeGZkwktNcMbX9RnZbXFA89artktuPSihCQWnFjwSBLDpdsFV18c8cAzguX+gDfcJKk3z7D/WItjZ2doBILewGPDVMzhsz6+HqOkwhrNjs3LXL1TcddjMzx8JOLtr+qwqTnNXY/WeOzogFuuX+E7X+Rz6Pg8j+83PHE4YiD7/OI/vcC26Y3sP76BleGmbmtm99Luiy/RI6N+/Lqr99y3Za61CtYIIZ/vU/ltu/2DYfBz55Y4e3Zp192PHdt+8dbkEztqn5s6drzbPHYUopGmVYct05Ynj81wz95zfNdLVtjR0XT6mu4w4BNfbTLX6nLdZZpR2OSepy2funfAO1/RoVZr8ehBj61zfebaPifPa7rDhMFgSHOTR2Q0s03F1hnJK68Z8tjBGC0FgR8TNGIePqJotjy2bwgZx7BtDm64fIHOQDOOZ4iM5qljkicO7CRQNQI/QU+PGY5hqj1kN9Dt+5y8kDA3PWB+qsWXH/B56kTIO17dZ/t0m3ufqPHk0RFX7Vnh+1+TcODYDIdPCU5diDnbSXjrq7tcc1GdvUeaLKwIjp851z5+9lh7Zfwgzc3bP/5bPzvoxF78rlheeWo0WDpWa8w936f023L7ew9way3A5V/6yh1bjfX+4M6v77v0l++/W/3x/36SDa1NLE3P0R9pBiPNcGzojuDDX55l69wSL7lMMxhtYBx5DMMGDzwbEkYrXHcZBH6DB/cpPnlXh2t2rfKK65ocPNlmYXVE3Y+ZnzFctk1xdkmx3JF0ewmt+pjA99g+H3L0nIeWQ97xMs0j+z2u3LnK9HSXzz/aoDsM2DDV5NEDPldd3GNuyuPYBcG2eY9aLWKmluBpiZSCh/fOMtUcUPfHXLJD4cs69zxpaTRWeeeroeVN87WHfPadGnLdFcvcsAdOntnM3iMex85EPHPKctO1K/zwGyJOnd/CuaUaiyuw3InpDODZ00Omeg80uye+3FwYvvnOxJMHu337k9baM8D+v+9Z1L+3AO+sLKO0vnTf3qdf0On0/tWRI0dedcfXn+GpIz2WRjX+4K9b/Jvv6bB1vsZwrBiOfUZjj+HY0j9T5/MPNHnp1UvccLkCZrDW4/FDM/zJ/j7vfG2Xl1wZsWG6ycN7Z/jKAyO2bBhxxU7BxinN4TMeg1FEfwCdvkBry7YNCSiJlCHDgeTsSg1MnY1TIZdsG3DvkwFjYr7r5RFJ2ODQKcn8jGbbnMCYmIUVTXc0Zhj59Po+OzaMmWuPUEqitSCKNIdPwfzMgFuui9k6ozlwfIp79sGZ5R43Xdfj+16dcPLMZh7bH7D/eMxjRxIi0eOtN48YDTdw6nyDc0uShZWIpU7MqWWJqo34l9+1QsPzOXboEbXYO3OF37rm9sHYv1N7td9e7aw+EUfxwQ0b/n766ur5/gB/k9vK4gmCurfr9In9//XIkX3//t57v75r7/7DjMchSkrGY8XTxz22b+rysqsjosgnSjTGKqwVaAwnzvkcWzTs2tJl8ww0gho1T6PQPH5YcW51RLsdcvVuw+XbA3r9GqcWBL6OiKzizIrHmQVDNxRordk0HXN+xXDsrM9MSyLQbJyNWO5Zrt01QsoGZ5caXLYt4MDxgJOLlqt2jTm/LIlij2GouHxHhBCW3kCyaTpmfnbMxtkQT0JnoAgCuGy7YGWlxVcfqXPwzIjZ2Q6veeGQWy4POHxiI4/v93nmSMyRhZDWdIcfeXOfq3dOcfzsNCfOeZxZSDi/FHFiSXBgwfL2l5/nR98S0+/Pcn55ivOLloOHz/LsvmO7eoPoe8dhsnN+fuN9P/Xen1797d/+zef71P9P3/5erT/j/j6Urs8Puqf+1emjj1579sLwHfsOnGCl67PShaVOxOJqzPkVy9EVwdyGDr/wPYu8+LImR8/MceJcg1MXFGcuJJw4F3FkwaAbfd75ij5vvdnnxLk59h4NOHTKsPdERCJH7NgY8tJrDTs3Sk6ca3LyvGS5axjFBilhpgXzUzHLXU23r5hph2ihmWkn1IKIB/YGXLzZMD8Tc3axjqcMp5cMG2csF28JuX9vgO8r5lqgVMSGJqz0BUt9wca2YbYdISWMQ8VyV3P8vObEQszOzSNecm3M9nkNSYN9RxscPmV59njC8aUxb37ZCt/9ijF1NcOxszMcO6M5cyHhzGLEiQXLgQXLi65e4Ofe3WXT1AynF6Y5v1jjworH4iosLI+5sDxi6/Y9+PWZT738FS96as/F2397MBgu3HLd7ucbCt/y7e8Ng9uV30eJk20zeOK/dxfu/+eri8ev6q0uIYSHRZEYibUCawwCi7Rw7FyNhw8JLt3e4aqdBvAAhZQarSSBslxY9Nh3SjEyQ67Y2WXPNsP8jGbzjI8vApY6ASfPCY6eFTx5DI6dDVlYGdPpJYwij5rvM9+ybNsYIUTCcKzZtTnCU5bICKLEZ6krGY49fC0Q1jA/bdgwlbDcDegOBaPYY2Ug2DxlWOoYTpxX1DyfzbOwfT5k09yIjXNjNs+N2b7JctFmxZU7POqqydETbe5/2ufRAzFPHo9IVI/vfHmHd7zUUldzHDg+zdEzmtMXEs6l4D60aLnp6gV+6T0r7NgwxZkL01xYqbHU8VjuSFZ7Cd1+Qn8kOHBskQMnO1c+cXDhFUdPXdh17MzCl295/TvDe7/y8ecbEt/S7e80gy+vdAhDi1L82t2PHXnpL/zOX8l333LopT/zXSf1wsomljttljoNljo+Sx3NUgeWOwnLnYil1YRzq3B4STC/YZX/8ANLvOiyBifPz3LmQpMzi5rzS5ZzizGnFhIu9GKmZ0e87No+L74CfFknUAHnl2ucXdScWxYMxhDHhppvaNYSZqZiDHD8XEy3Dzs3eTTrY6wVIHz6Q8NFm8csrWqwToqs9mEcg8Wy3AnZttGjN1QIZRFmTLvmcdGWEasDwfEzmsRo5tqSVk0QeBDHgsFYcm5ZcnbJcn4lJghG4MXcclWfl14tmG/XWVppc/J8wJlFOL8Yc3455vQyHF6yvPCqRX7lB1bYPN3mxLlZzi3VWVjxWexIllcTVroRK92E5Z5hsSc52YXV5R6/+TNh/P2vr389mP9R4zWu+rrE/EKCR1BrP99Qec7b31kG/+MP/yUvu+VG/vW//te/+ud/dfvPvP/PvnbJ3hOruw6d6cuXXdPj4q2GxGisVVjr2BsrAQkIhLBoYfElnFmq8+AhybV7lrlix4hGDTwt8T2F72uadUnDkwz6HvuP1bjtUZ/jF8Z044j9J8dsmlvmrS9b4dpLerzwig7HFmMWB4JGMOLIGUun2+SaiyWro4S9xxSthuaZ43DpVssoTBglPlpHzLRg38kApRM8GaM9GI4lL7piwHAgufaShO4w4fiZFrs3K5qNkNWxZeP0gJV+l7+4HR4/mvDk0RE7ty5x3eVdZmZD3nJLj+9+pWXP5hZJNM3R01McPuVx8pzh1IWIUxcSDl8QnFiNeMFlC/yHH+ixaXqak+dmOb/UYGHVZ6kjWekkdHoRq/2Elb5luS84P1CsdGNuumKR977tgqxru2vh3Ind/UFyc629u15vzHz18Qc/ze+//8+fb8ise/s7yeB/8Ym/4oUv2K5uvePA/3Hk+LlffOzp4+rscsjiSHF2YLl253l+8ycXuH5Pg/NLMyx1Gix3aix3PJa7mpUerHQSVroxy72YxQ6cXBHo+oiXXL3M97wyZPfGJqv9NheW6yws+yx2BMsdJxFWeobu0NAdWwajmLl2xEWbDCAIPMupCx5CBuzcqNi91bJ144DzK2OeONjixkstjfoKTx+apdUMCUOPuRnDcARXXjTio7dPc/mOmPHYsmFKEiVDWrWAZ46NqHtNrr8s5skjIeeXfLbNBezeAhdtDlEq4tQi+J5FCMvOTTEzLUlvGNAfeHQHHstdxfIqLHUMy52ExU7CuQ4sjRIu2tbne161yEuu0NS8NmcX2yyu1Fhc1Sx3BSsdw2ovYqWXsNq3LPXhXE9xfjXmRZef430/ucSl25osddqsdGv0R1N4jT2JV9v8qyvDK3+l6R9PXvnatz3f0Flz+zsF8AP791Or1+qnTp666Imnnnn30eNn/+O+gycZhpL+CFaHjlHO9GJeePE5/stPLnPdxXUurMywtNpgpVtjueux0tWsdKHTM6z2YlZ6Mctdy/mO4Ezfgujzjpd3eMuLDBdvqRGGDVY6NVb7Pp2eYqUv6A0Eo7EljC1JAkpaAg/qgWW6bdk4G6G9EYfPhjx1KMDETd50c4j2Vnlk7xS7tsAXH4x5+TUBFzpDaloRJxGzMxBHHtqLWVpq8LIbunzxvha7t8DDB8d4NHjjiwyxGPLU4YSjp2po6bNpRjPTFNQDge8LlIDYQBhZRiH0BpbVvqE3MKwODEt9yzBJ2Ll9wFte3OEdLw3BtFhaneLCct3p7a5mpQOrvYROP2Y1BffyAM52FQvdhBdedp73/eQFrtpZZ2FlmtVeg04/oDfQrHQkXn07jdbmf7d1x+Uf37pt24nxaDS89LLLn28o5be/MwA/fuwQG+bn/cOHDv7wgQMHf+/Bh58Qy6t9ORoZ+iNDb2TpDWF1KLkwlJztRbzokgv8xo8tccMlNRZXp1labbLSDVjt+az0NKs9Qadn6fQTVnsxnb5hpW+50BOc7Rhmpge8/oU9brkiZucmRbvu0e3VCDwJKMJYYozAWBiMAGGYaY04eNpibMitDzcZD+pcss3nJdcOiMwqdz06zfWXehw816ez0ubF1w746iMBm2Yte49b/pe3d9l7LGDTrOS2RxUvuVKxPOhy5OQs118WctdTQ+Jxg1uu8tmzY8Qw7vOVRxQkgsOnNO2GRgsYDCXGChJjiWJAGrRv6PQtzVbEji1jXnrlgNffGDPXrHF+eYql1bpznHqala6g04dOL6bTj+n0EzoDy/JAcq4nWOzF3Hz5Ar/6Ywtct7vGwuoUq70G3X5Ad+DRG2h3H0Jsa2b3nmvsrl173rvnkkv+ZHFxIbzi8r8bIP87AfAoimQ4Hr71wfu+dMlwFL/vkYcf8fojGIWW4ShhMErojwz9kaU3FHSGggtDyZlOzC1XXuDXfmyBG/f4rHanWFhp0enXWO35rPY1nZ6iM4Be39IdxM4dGBo6A8tCX7DQhygZc92lQzbPJvQHlje/eMyuzYY4kWhpCSO484kaJy7U2DIT8/ThGpgGV2xX3HC5IagNeOTggIXFJlfvatKeXuG+Jz1uurTG0mCVlZU2mzdbHtyr+Cev6fPQXs32jR6L/Q4ry7PccOWA+55OmK1Pc/UlfS50Ojz47DR13eSFl1suu2gEss8TRwUbZyPOL0Tc9YTHKFJICYmx7NoS8voXh/T6iq0zhhsuhTBssNxpsNwJWO17dAeKTl/S7UN34JyS3iChOzCsDizLQ8nprqAzHPOSyxb4lR9d4YWXuouj06vTHQT0Bh69oaY7UPRHksFQ0Bsk9PoRN7zwpkhK/bPf9fa3Hmo06p/zPM8839h63jOZcdjHJIMfOHvikd9cPHdg9tyFFeo1CcIFirj/pTdnAQphkdIipeahA5v4hQ9o3v6SZb73Ncvs3hZybqlN4NepBz6NwKNZ1/TqktbQY6qp3QUzTNg0NgzHlt4oYHmhxqmTljA2nD4XEwQWEPjKoqVgMFQIPOKB5gW7BHu2Wi7aNmCc9PjSQ4p9h2Z4w40BN1y5woe/ZPFFg13bBjx5n2LbtGJDe0BN1Qkjjws9aNY02zcJHt8XcsNldV55/SIf+vwQ32vxupstXjDgaw+GfPGBJs8erXPx1ga7tiTMz4Ts3hBxza4EpQxaWcDSCALmpwPCyKM38Hn6oOdKFIYOiP0h9EeW/sB9994woT+0dIeW1SEsDBTnVyyNqQ4//aYF/vFLxlx3cZOzi206/Rq9HNyK/lAxGEmGI8FwbBlHEBvBPV9/2GtPzf7m9Oym5Ve94ub/rdMdfGiq3Xhe8fW8Anw8GpBY8aOnj97/a0f3fXU2Hg9oBD6umk1gEYAC4ZYaIUAK10mjpEXJBF9Knjw4z2MHmhw8c4G3v7TPS68aMd1qs9xp0OzWaA99+gPtTs5IMhxpBmPNaGwZhYYwskSRJU7cPYx9rAGpBJ4W1HzBdEsw04LNGwzbNw3YMNPhy4/A3Y95SDPFG270eMEVPe59NiIctXnJCwSd4ZALS01uucywYXpAXQeMYsVCN0IZwQsu0zRaYx7dX+MVN0zx4ut6PLpfgZ3ixqt8fuQ7l/nq4yG3PdRk74kaF80rNs/WmWk1mGpBPQBPW5QEY2HvUUGSCKJYEMYwjnDfcZwwHBtGY8NgZBiMDf0hdMew0Jdc6MHYjHjt9cu89aUdvv91hjhuc26xSbdfozf06Q89+kNFb6gYjASDFNzDkWE0ThiHhuHIcG7hDCfOfml2FCb/19vf8krd7w8+0Gw+fyB/3gAejReRKvqR8yfu/rWzR7+20SQ9mnUfKRNECmiERCAQQiGEQEpScINSFq0snjLUPcHioM7Hbt/O1x7r8vJrVnnPa1e5ZnefuekGS6sNesOAwdBLga3cPRSMI0kUC+LYLfU2XS6UtGgNNR8adcNsK2LbxgExfQ6ejviLu2ocOdlkOqhz01WaW67t8uCBDrfe3+bmS2tctGXAR28XKBHQbkWs9scYC0rAfHtAt+dj4jpvffkFPvbFBnvO13jLzQPCaIm7npojSmq86KqNvOWmLpfu6PC1Rwc8ebLBE0d9ts9KZtuCRiDwPXcRSgFCWIwFYyxRnF6skWUcuQt5FMIwhN5IsDIWLPdA6BHXX77Ke16/ysuvSphr11npNuj06vQGAf2RR39YrASDsWQ4gkF64YxGCcPQuAspsiRWcX6xy0c+ftvG4Zhf+8ff8TJ75vzyH2/dNPv/DoAPTv8miZxhvPzJH4yj/vsGC/s2+HJAoxYgRJL+lkAIHHMLiRACISRKaqRMUEqky7PBU5ZAW+pasDJSLHVm+MSdTR54us9LrlvlPa9b5fo9HeaSOnEcMBjV6A89hmNNGCmiWBInksQIjBUuCyosgW9o1GICP8T3xpxeGvP5hyWHTvkcPTWDMgF7tvhcuVtx4xVdVLDAU4dbbJtucPXFsHl+heVum2u2SWJj+fJDAeOBZLoZ88YXjfjcXREnzrW4/BKPs6sjnjnisWPTDNftXuDeJ3vc94xgHPpcsXuWK3YEXLG9x+Gzyxw6DQ/ta3DwSJOGFgRa0gwsNQ+kdMRgrbtY4wTCGMJE0B8LuiNBN4LQxBg74oWXdnnP67u8/JqELbMBo9EUS50avX5Af+QzGGr6I8VgpBiOBcORZDh2faOjceI8/rED9zA0jELn6ESJ4sipLv/3R+/YeO++C++bnmrEv/B///WHT59c4kO//oP/cAH+r3/jj6hv/WtO7X/199fl4d+JhkenPeHRbNSRY5lLECFIWRvH1lKglEArlT4atErwtMDXBt+zBJ6l4SdM1wS9scdKd4ZP3t3m9idGbJoZ8O5Xdbhix4jRsM/Vuy07NivGkUeSFGl+gUVKg6cTjp+3HD0nWB0aPntvg9OLM9jQY6am2Dqn2blZc/E2uHpPFyMXef/nmiwvT3HzFZqr93T42hMCEXtsnJE0GzGDyEdaCVaitE9nJDi/LLjKNnjVjT2+/midrRt8br56ln/2nYv8yRd7PLS/SX/ksbTaYvfWOpdvGfCiy3p81yt6nFle5rP3BiwNAo6f9Th92sdTAindqmesJTEQGUsSG2bmIq69asB4HHHFjjHvfNWYjVOK2VZAFNU4u1BjMPQZjN0qN8yBLR24x4LRGLcSjBNGoWEcJjlzO5DDMBIMQsEg0Zw40+WZTz+w4frLtvzOy2/cHH3o1/f82YWj/5WNu3/mHx7Af+bX/4LXvuKd4od+Xr5rU+PpP3r3y55oXHexpifqWCtTUBcAl8IipZMKUkqUlGgl0Cp91AJPJ/ha4HuGmmepR5ZGaJmqJczUBYNQ0gubHD3V5Df+bBZMjIhjbrx2wO7NIXEMxhqsdUkcKQRSCbTns/+Ez95DNZo1TcuXbGgI5uckG2c1W+cVO7ckXL5zlUQs8bufanP8xDQ3X+Zxxa6EYdzj/qcCpusec1OW6VZIo+6kkDGSzkix3LcsdRI6/Tovu3qVh/cO2HdCMd2u8aKrpvmxty7x3z4Njx5q0h9aVnua88ttNm9osHFmxM65Ef/6XQPajQ5PHoX9JyWeZ1HKIoQhi86thTiGXZsTXnJNTBJ5RHGAtQ1Goce5RZ/h2K1oo1Dl8m0YCkZjwSh0rD0OXVZ2PDaMQ8MoMul7NmfuYSQYRoJuKFiNBP3YYEYjhp1Hp1//gk1/9J/OLsSd+Kc/ceFI2268+Mf/4QD8J375w+g66uOf+/A7jhxf+PCHH1ysPbmvxW/881WuuMggpUVId2KkCJDSoqSHUhYlFUqpVG9LPO00p+8pxp5kHBqCMGEcWeqRYRwZwtDSjmEcGcYxhLFgFEnGSUCU1Nh3qMkT+yCxFgdtp409Cb5yNR+tAK7eAu06TDUlMy3F3LRm4yxctHnMlvlVIrvM735qisNHprjhYsXF2yV7tq9wxzMx55emuHG3ZKZtqPlDAhlglSBOJMJa4iRkpV/j/JLHDVfUecFlPe59tMamGUGj1uKGyww//Y4lfufThmdOt1jtG1Z7ioUVzYbpJjPtOjPtKdqNiPlmxM4bQgIvxtMxSiVI4YIJi7uookhxYUETxYooVoSRYhylj6FkHEnGoWQUSsahcAFqKBiHlnHojus4TAjDVNNH7v1RCKNIMIpgEAl6oWAlkvTDGDMa8oJdK/zaTy7wmivPNrod78NB/ffM1Nbmp8YX/msSbPzbZ/K/dYD//Ps+xmy7ro6cWX7nMwfPfOjBp0/XqDf40oMb8DT8yo+tcuWOHkomSOnArpSHUsY9SounLJ5WeNrihRLfE+4keIKxrwgjB/QosoRx4lyRuHRPIE4sSWJIDE5vG3JwZ1JIS/A8CLSgFggagaTZUEw1JDNTgo2zMTs3D2g1V/nU10PuemqW1cU2116k2LnF49IdIxKxypcfatD0NPMzilZjxFOH4dkjmmt2WAZjxXWXRly7x3LubMLCis9w1OBNN/W458khB08rmnVJ4Le55mLDr/zgEnc+M+Rzd25gqWvZuTFhpaOZbiummh6thkezbqkFhsA3BDpBK5seS3cOrMUlrIwgNpI4EcSxIIolYSyIIsk4cs5LGAnCyBKGMI4SwsgQlohjHJXvDtzDFNzdSNKJYDCOkFGfG3at8Ms/vsybbzJ0Bk2ScG/NqugjS2cu/6HI7PjL84f/ONm050f+fgN8a8vIwWjle8+cOvP7+w6eqjXrHqPEEtda/PV9gnCseOeru7zrtX1m2gk9adAySXW208Oe1niRJtCKkeeYZuxJQl8QRsKdnEgRxRBG0jkIcWH7xYkhSZy7kNjUKUndksydUdLJHl8LAl9SCyTNuqDdsEy3DJtmx8zP9IjtKp+4R/InX5xjY63GtRcJLtrisWurYeeWFT51v2V5ucYVmxUzbWg1Is4fk1xYCfB3wzgSzE9Jpqfh4FHLStdwbrHGpbtqvObGHp+/u8ZcCwLfR8lprtkj+PG3XMCTF/jre2d49nSNTd2IjdMxU01Fq65o1CX1QBP4EHigtXOYpAApSiDHXdiJgSQRxAkp0CFKLGEMUZQ4UogMYfYYmdR2zFyZ1IKMnSTpR4JuLOlFhnAUMhV0+Z43LfGuV/V53Q3QHTQZjwOiRDNYOF1L1OwfhXZGWxp/juOZv58A/5M//TQmMT/4zL4j/+XUsZPt7W3FIDL0YkFPeoxFmy8/pLn/mRpnV5b4X75rwEw7ZhzU6A5qaOXjaQ9Pe/hhQuhp/NBJkzByqXTHOMIxUcpKcQxRAkninARjXMBljM16OFNwO4C7wFXgaQeQWgCNmqFVj5luxcxPD9kws8rX94V85NY6+49Os2vKY89m2L7ZZ/smuPyiLoO4y4N729SVx/yMYroF060xM1Mxvq8Rwl1cw7HPcjdidWDp9GMurPhctLnFi6+4wK0PDdh/uk0jiPCUjxBT7Nmm+KevW+SFl1/gI7e2ePDpaZb6mo3tmOlGTKMmqdcUgScIPInnuVhFKVL70KHc4npYjSEHepyYdHVLrcXYECcO3HEEYWyLe+RcmVHsSGUQCbqxoBfDaBRj4iFz9S7v/e5l/vfv69MIfDq9BuMwYBx5hKHHOPToDs600Y3fnd10tf/Mo5/9k6tv/Nsr0vpbA/jCUgel1I/+4Qc/+WsHj5yaq3kChEWJVArEgq7QDGWD1bHmv3zcY+/hFd76ij6vur7Hpg0hvW6d4TjA92IC32McagLf2XsZwKNIEsZu2Y3i1NNOSK0/UuaWGEsBbpekTJkbtHIJE9+z1HxDvRbTqsXMtMds2dDlfGfA733W48sPz7K80uSSecFFGwXbNvps3yjYvXWE9lf52F2aIyebXLZJMtOSTDUTpBxzesESaIkUYK0gjDQ7N3Z5iITuQLHStZxfrnPZ9hrf9aoOf/k1n2PnAzwdIYSHsU2iWHLj7hV2fl+XLz864KNfnuWRY022zQg2NBOatYSaLwg8ge+5WEUrXOAsRV6TYXEXmbE4pyVxgM9AHidO0jmwQ5i4WpcwSx7FgmEMvVjSi2EYGpLBmO0berzyhhXe9ooBb77JoEWDldUa48hlV8PQYxxpxpEmijXh8NTc7PyO911+/TtUFK5+wPOn//4AfHllFd/X/+yzX7jr1x585JmN1lo8LYB02ZQWJQWeFPSlpCdrdELNx+6oceeTPW64osv3vW7AW27uMDcdMBwFDMc+gecRxh5hpPNAKY4VUSKJY0mUCOJYkiSCxIhCaxtBrkps5ta4ZJFKk0W+Zwj8hHoQ06qP2TDdZxgN+dpTlr+4Y4oHn55mxve4Zptly6xk05zP1nnJ9k0hF29b4cljQz57zzxTSjM/JWg3Be1GRGeQ8MX7a7R85w4ZC8Ox5q0vGfOFB1xNTKdvuLCi2b6xxdtf2ufBfT32HvRpBjFKCgdy02AUOq3/T1/T4bItF/jYnV3ue3aaEyt1NrcFUzVLwzfUtMH3QCuBkqQJMve9s/Ijk0o1Y4oVLk6B7ggCokQQJSmwE8EoFgxiQT/BxTxhSLM+4O1vWOZ7X9flxssSNs14DEdNun2fMPIJI8faUaQJYxfYxokELBfOPrux1tz8axfteaUZDjofrDe+/WPlvq0A73Q6dPt9tJY/cMed9/7nr9x6+9ywv0I9UCRJAW4pnGuhU+cikNCTHgNPcaobcOaBBg881ecvr+3xztcMeeNLRsxO+4TjgHHsEUYeUayJUqDHiTtocSJJkgLgxqbMbYqaMpHakEq6Og6tDb6XEPgR9SCkVR+SMOSrj0r+7PZpnj46hYgCds1YtkxbNkwr5md9Nm+QbJ2PuGhzl5MLPf7gc03icZ3t2wXTLU27Ce1GhPBCusMm0y2LEAJrIYols4EiNjG9yKc3SFjpKk4v1Lnq4hY/8Y9Wed+fBxxfaKJVlF4YmjiuMQolm+cCbryky7UX93nm+Gn+4o46tz4yzZlOnWagaPnQ9Cy+tngKtHTp/DxDnN4MYI276BIjSCzEiXD+eSIIE5ckGiaCYQLD2BLHMSYaM1cb8qbXrvLu1/Z4+TURU3WPMGqy0gkYR75j6chzsVGUrrqJIopkmlwTdPs9Fpfv3tjpe//50stvii+cO/M/gkaTqfa3D+jfVoAPBkNajebbHn3k0f925x13tMNRl3ZDu6BFilItScqg0qITiycFvjLUE8FA+QxizYVxjb9+oMldTw940W19/sV397jyoi4bpxXthnbsEHvEcQHyJAO4kRgrsdZJApsHlGmqX1kXxOqYwI/xVEh3GLHQjfjtT9U4emGGR/dOY43PXF2wcYNlw5Rgrq2Ym/bYNCfZPBezbX7A3PQKX37M8Miz01y7XTDTkrQaknbD0KyHCG9MEGi0cn/fWkgSyXCsGY4iYiPoDQ29vmW563Fuqc0tl/d58VWrfOy2GvVlhZaRA6TVxIlPGLkezw3TNV64p88LL+nz0CvPcHxB8pFbp7mw2uDUUoCvJE1P4GcyLCWXnMgzqYJj8tgKYgOREYwTGMUQGgtJDHGEVGO2zgy5dqc7HzddmdCua+K4SafngB2nwHYrrE5loyKMU3AnMn0UhJFkMOpz7p675saR/m/XXnf9ymg0/Oy3E5PfNoA//ex+Nm/epD74oT+/5PDhg+2l5RUCX+d2lYwdoKNEoGKbght0IvCUxY8ttUTQUIKhEgx0wDDxWArr3PrIFF9/dkgzGPNDb+6wfS5m19Yht1zdQwvXIiaEkysuK+lqpa0tMTfOa1fCeeaWGGTMM0clD+/TfP7BFs+caBHGDVpaMV+3zDYtMw3rfPC2ZnZKMzct2Dwbs3V+yJb5Fe56esz7P7+RLdOa+Ta0m4p2U9BqxNSDMV8/oBiFGq/pQGWtIIwlNa24/rIhDzw17QqfhgmrXY/F1YDzizP8xFvOc2pxiQcen8eTgIgwkANoHEr6Q81Mq8Z0u8mLLxvwymsHfN+rF9h30vCFB2s8uK/OgSNNYqEZjxWDSKHy0ody4JnmBKwhNhZrDJ5ImPJDakS8+IY+u7eM2L4h4j1vHFP3Jc26Rxg26PT8dCXVKeGo3Gt3d7n2nhaERZEgSSSD0SrPPnVvezQ4d8mrX/dOdfb0oWTLtkv+7gB8775n2b51g//Agw/9cGKi/3JhYRGlFNKmBSVkmUmBlK78VMU4iZBYdAyeFHjGEiSWmhI0EsHYwCjxGCYeg6RGr5fwnz82g40jNs2PuOqiEXNTMe98zZCLNoZEkUj1toQSc5NlSaVBSMEn76zz5OEmQmuOn2lw+nyDWl0xFQimm5Z2zdCuQasumGoo2i3FTEszNw0bpmM2zY3YtrFLYlf55D1thv0ml263tBuKVkPSqhtatRjPC/nyAzXGA4m30XWLZhKlWVe86UVD7n7M0B9L+sOE7kCz2tOcW2pw5e4W73x5l0efaXB8uYWSBohSvewRJYpx5BIz/ZGm0/dp1Rs062Ou3D7i5stHnLzQ4djZVbSX8MQRzV/e0UAoV7jG5PxBawAD1hKFCTs3xbz7NUM2tBMu32nZNAdJ7DEOW8Sxx0rXI44UUaLTOMgBOgO4i4kKOVIYAIUR4B4FUmm6nSXCcOd/eebpRwazc7v/5MD+feFll1/xdwPgZ8+cYnV58bITJ0793lNPPCJrvutlToxFCIkUlljaFNwQpyn42Ah07HRilFi8xGnAQFtqiSVOBKGxhIlgbCTjRBIaj8jAQr/NHU8aLAmfedCNbMCa9J5l8VKLTGQViRKpFHGkkUbjaUkrgN3zlqZnaASGRgCNQNCsS1p1J4emWpKZNsxNxczPjNk63yNhhd/+qxr3PrWRPXMw00jZuyFp1WMa9ZBmY0i93iBQEiVTDY6TA1HkMRoKhuOE3li5rqWhcS1zTZ9T56d42VVjfvpd5/nNv9ScWA0QwmBthEksUewRRpLR2JWxtoaaZs2nUa/RCBrUgohWPeTGS0N8L+KmS2Pe89oBWsXpqmpcvX1ZlKeSzhiJEJLAU4DPaKxZWtGubifJYp70HssiBkoL1zJwZ8DOEktxGrQWr0njJdd6d//9j8hrBur3Nm0a3jMOR09/O7D5/xjgD9zzaWamZf3QkYPvOHbksGg3fReoJIbEWBJZgFspl4CRyqISUInThnECOnG9j3EW0SdpVJ9F9kYUr40gNJLYShKjiUxAktpe5VuepRSghXD2pIJa3VLTlppKCDwINNR8Sz0Q1H1Joy5p1LQDeFMw3TLMtmPmpsdsnO2zdeMS7/+84aO3bmLHtGJDy9BuKloNRbMBjXpCqx5xdslw+GxAzXcXNGSVfoJRqNm92bB5w4juyGc4simLS1Z7mla9RqsxzXtee4EjZ8/xR5/dhpYaiyExCbGxRLFmHCqGoSuKGtQkjZGmHnjUg4ROz8UYvpe4hJmXoKVrlJAySet+bKmxxK24DuSCjkmrLI2La5JEYowkNkW8EyeiFOBnz0uPsUjfz8DtQB0lwp3vJPPjBeMQ7n/wMbFjZ/cd27btPPyhj/zl8If+6TufX4An1vNPn1v8+e7K+Z8XdiTrNbcTQRy7MlGVgjuRlsSktdyJIEnlSWxAJ86vTrLkg7Hpa5u/VzwvKuWclyvyQKmsuYE0mHWBlZYGLUlrWsBTAk9b5xtrQS2Q1HxJPVDUa4pWXdJqWKaaCdOtmNn2mA0zAy7atMSDB8Z87M6tzNQCNrUM7YZw4K5LmjVDsxbTaox5cD88sa/BJfM21b1F2nw4Vtx0ueXSi4Y89PQ0g7Frz+sPdQpyj0atTr02zfe8YpknDlzggb2bwSqMSVw5bGyJI5vXkwzHmsbIUq8par4h8D0CPyHQBq0TPO2yw0qZ/LxIYUFYBIWeK4JzV0JsMkfKZPZryYrNgG1ESmzZa3JgZ3dHYAWw4/S8Z9ZkFFv6w4Hk1Jn/o9Vs+lNTzV8FwucN4IPBQI5Go1/+4l9/7H87f/acL4TGU4B1CQaVCJIKwB2wVZpUSJRFm/S5cQ20JiF/nmQZN5tl3iwmzcRlyQprLaXMe2XFzdyaLKGjZJqxVJSKtlz2L/AVtUBRDwSNuqBVt7QbCVPNmOnWmLmpIVvnV3hg/5Bf/tAmTpya5uINhukGtOuKZl3RrEGzllCvRfjeiM7IFYt5ysUfOSmYTIv6tOsRg9gwSOusB6OE3kDSqSsavYBa0GLX5ohf+eEO//7Dkvv3bsKiMNaQJIY4iQljQxgpRqFiGEjqY0XNlwS+JfAVgTZ4nvP7tbJpnU+6qqYyRQhbbdBNU/s2JRGb1rIkKeATUzw6MpLpoygAnj5PUumZsXWSrs7uvEMc2/S7WKQQLF44569unvnZd/zjN3mj0fDf1Wr1v3E6/28M8EG/izXRrz76yNf/1enTJ2tKuvpt7TrMXDOsdFeskoJYZUC2GOnAnaTgNtlzIzDG5mlkk3u0YI11XeRpCWj5zgTAs9JbkYFbZDXl7vPptBXN05LAdwOAaoEbyVAPLM2aodVIaDciplohs+0hW+dXeWDfgH//JxvYf2KWnbPOYWnVJc2GdOxdtzRqCY1aRJSE/OltLaRSeNJlcHMGt9kS7vFP37DCVx4J6YUBgxTg/aGi11d0Ak3NDwi8NpfviPmPP7LEL/2J4L6nN2GsJDEurR7FrtBsHBrGNVfuGgSCmicIfJfZ9LXNM7ZaGScTZVGWnAO8SHkCKYngcgnObUkD+QzA6dQBkyfXCl2d5CAnl51JCdgZHsqP1oLva06eOFG78857/tdXv/pVotPp/sLU1N9setbfGOAXzh7BWvvi00cfqwdeiJJZAOUOmEwEiQRlSB8FiRQkeXo4A3cmP9x7Jq+VKNqvHNCFq6PIQJ0d+InPVfRupnUmkqKYKq0jdwCXeJ509Ru+oBa4mSeNIKFZd+BuN0Om20Pmpzs8uG/AL39wlmeOb2D7jGCuWZImNU2z5upX6rWYehDieWNOL83gKYGSJrXliiAzSSRxrNgyY4njiG5USztlDMNRQm8kqQ8UNd/D92p4eoortsf8x3+2wL/9Y3jg2Y0kRjqAJ5YoTlImN4wDQy2UjHyVSzDPA0+nzpWSLhcgi8SbSB/XwbiTK6RJIUSeHDJpcijLFidJ6X1TSM6kBGxjivOd46AEcpuuyuNwyJ33PFTfsm3Hi/+f7DjxNwL4mcOfYWZ2pXH3nXf7nlxmqll8mbxaTaVfLAW6yd9zQDfGkmjyL1kFdiZDbA707IvnzP0cn02KoohKSpBS5OBWUqaNEpk8gZoHgW+o1yz1wOnnRj2i3QiZbg7ZMNPhkYMjfukDMzx1fJ6t04r5pmGqLmjVJI2aolEX1Gvu4nCp/pAH9gr6I5+aIr3I0jY8WwSaUaxp1hS3XN3jwWfaDCInU4bjhMFQ0QsUga/wPT/Vz9NcucPw6z92gZ/7Q7hv70YiI4mMSZulix7MsS8JfOPY2yvq6LXK7qQypZBxWbPJeiDPkkI2A3gK+CR3Xlh35TVpLGVKJJYkNv15FejlsoHEWLpnlvngRz7rv/YNb2n89w99YfBTP/Qdf/sAj0f7UMGO6dMHPvkHDb/zikEQIoUmiov6j/yKlU5zm9Ky5Ri7uMqNEuuzdgnQxtoKwFNaqepu4QqKhEzBnRYZqRzgoNKKQU+D7+E6gfy0wCpIqKfyolUfM9UaMtPq8vihMb/0gRmeOLaRzdOa+YZhqg7NmqBZVzTqikbO3gm1IKbVGHHXEz6rnRozM0WaPAOMSbVplCg2zile+4I+dz1sXBdNaEogl9Q8Sc3TeNpH6zpSGq7cYfm1H7vAz/2h5b79G4mMJkorAF3Zq2PyIJJ5daGvJVqnRVhSoHR2bMg/X3YRZlJFZFVpFAmhybspPRpTesxX3iq4y5WdyeTrhKLVLnbHYGxHr9h36Ogfv/cn3vWTN950fPUl1+782wX46tJ5hFr5uc7K4e+NxhfwdBNrDULIYhmSE0uUEanOzq7y4orP5EeSyxBy9q4EkpPMnSI9y8jl2ltmFXSF7s4qBrXC1Wdoi+e5xuKab6j5CfVaTKMW0ayNaTVGzE51ePTAmJ//ww08fmQTG6c9NjYSpho2BXfK3jVJPXDsXwtiGkFIbMb0wgChJF7G4LkGFyl7pX5x5NH0R65cIKwxk4F8lDDwHYMHvnQ18TrbgNZyzS7L+37yPP/m9w337dtEZDTjRBAmJmVxQS0yBJ7F91zvqk7jDq1cibCSMj0+aVd+9lgqzMovzHKsMwHunIRKxFQGdx5X2SpTZ+9ltfoZq7s6dUcEp84uEuw99r0P3P/Y4dE4+rd/qwy+cOE0zemtOx+/9wPXdpY6YN0B97RBiDSgSMGtjC2CEGPTjpKsqMeWAC7yA5WY8gETJaYospK2vGZmrF0OKrPlNu3QUWkwpXXaGZQWIWXVgzUvSXVzRL02ZqY9YKrZ44G9Mb/w/g08dmQT81Oa+XrCVM3SSsFdrzk7MQN3PUio+THtZsjeY5Y7H23iS4mnTBrEFR5FtnxHiSI2mlfdGHHJxX0On6gz36DocxwnDEYpC2uF1l46D8Z511fvhF//8UX+7R8a7nlmnlFUd8mw2NJIa7gDDwdyna1eJu9tlSrJVzglRQngogRy1uiVAuS2CvC8QrFYeddbmQt2r0oSU9HtlsRCq6YYLp/hkQcfuvYX/82P7zx+8tTxnTu2f/sBvrpyjlqtvev0sQd+q99ffdtoNKIWSKS0eOmohQLgsgg8cnvJYpJMjog1S1rmD9vc055wSda4JSlzT4JbWKTKbMG05kWlrK0tvjZ4niHwDIEfU/NjakFIozZmdmrASm/A3U/Dr//ZZp48tIENKbin65ZWXdCsidwrd86LceztO4DXgzFhkjAa1qgpd5FJISqVfFkixQWa2ml5PWYcWoaRKAHc4PsJvqfxPOmmCkgvBzgCrtst+PWfXOE//3nMffvmONNpM2pKphNLK7bU0okDgWdT7z9zUmzO3plUyQCef970Q5dxnivE9KRkq2oB7qqkdNWcJbBXgJ5Zv8Vqnuc80n8npWA4HLC0vPK2226/L3nxi17wvx4/cebYzou2fnsBPuodJh7Xbx6sPP2OqL+PZl0j0+ycMSCtcE5JytgZsE3ZSlIilyQO1CJd2rKETVWKlAGeHeKyKsxOghv3QFGOm4E7Hw7kymI9bdIxE0kO7sBPwT3bZ2FlyK/9aYPP3j/PYn+G+SnJfC0Fd83p7kYaWNYDSSOwKYM77V0LQiDk9sd9ViKfuYBKPTaiukIliWt+aAea19ww4IH9Ib0oYCrvWDf4Y1er7msHcK1cQ7aQLkGDhSt2SH7zX3T5wgNDfvWDmzi1OMNwWjPtC1qxoRFDELnRy75yA428LNCUIg+Cs8dyoF6+MIXIe0Xy8wMTErIM7FL8ZErgL+cxJkGemKqed39Xcd/DB5iZ3fQOL2j9ab8/OPZtZfA47KO8xqXLZ2//l3b0ELNTUekLiHUTATmDpxmwDNC51s5BnUkQW9hQk6xdliXpgc6YJUs3Zy6AygCuLFo6YLveTtff6XsJvhdT8yMCP6JVH6L1gLueSPjjL7b5/L0bCU2bjW3BhpqTJc4CzHxyld5Fytxl9o7QeszXn51mEGq2NLLPM8ng2ermSklrnuLFVw6JjQP4MBKuaz3rXB8bFxzqdDZMau9lw+0sgg3Tgu99dZ9WcIYPfnHI3c/OcS6qM6hJ2rGlqa0DuU7jEGXTuMSmIM+OoShqxyVIChaf3FEwlyrZiAomtXm5e6ioPc8YPVknOE0quCj+bRh5fO6OZ7j8ysv/5fe+7aWPdbrDg1Pt+v9zgH/l/lOo8UdJhnNbvXjvKxveaWSzTRTZtO7a1SpkTK1swdzGlCVJwd4VOZJpbdJkQgXYJeuhbF/lw4FK8wrTZIqU2Wg3k9Z8p+BWrhYj8CJ8P6LmhTQaI3x/wJ/dqvmN/7GRwwuzeEGNzS3BbJDQDizNAJpph309cNnOWpoQcvUrSboSOHmy2E3ohz6+UvjS5gEmpa+SncCsdiOMPereiM3TQ1YHLYaRSMetuVjB85LU5lOp3akcwCuBq6t8fNvL+9x01QK//pERH/3yPMtxk0Hg0fQkbe1qcAINviJvhtBZ0iefQyPyLHCWACqTSlWslIFOZQU2FVYva/OJ+xqzochem7RGfZxojpzq8qk7nnrluc5g64kz3YPW7keIbzym+ZsC3JiELzz1/btq9r737wzuZ7YVQd9HSS/te5RpMY5AZ0DPsl22KlGsKeobsuAxPwiIkiQRE9IkA7ct2CTNvskywKVFpaMnCuZOUpDH+NpJksAfE3hDjp2P+aMvNPn0PXMcOT9Du+ExW4OZIKEV2DT1noFbpuCWeVKolmrvwHcXTrs55lNf1xw8XqeWTuDK28UoUJ6PcbBOh0ex5oqd8J039fjjL83Rb2ja6eyRIEzjBmXQWqZj6yiB3CtRqlsVLtog+YV/MuDa3af4w8/PcuTcFMtxnYGnaSpBIwW6L10roZe6TPnqlx3XzD7E6fMi02nX+uQZMWWlE7lvvtZStGUQ26rJkPvnKdizBox+IhmEkmeffYB/80MXvf+F77nlzcasflOp8g0BbpIQIT3ufuCB7WdOPb5nZnaVjVub+DpOfVNXVWZyGZIx+sTzSvEOOfhtmb2tqIxKtukJI2PsDOSiALZ7zEYpO3A71yRj7wRPx65zR8cEwRhfj+klIb/3CZ8PfmEzp5emMarO7JRi1rdM+YZGytyNPH0v0zqVVJqk3nkObt9lL8dRyMFTAf0wYCZIXZws6ZS5ElkW1pZqUiJNu6nZvT1EBSN6YYuhL6hHlnEGcJ2kiRrlfGyZlQCvF7wq5qcG/MTbBrzjVef44Be6/NEn51gcNhnqGjWtaGhBXVmC2Do2T/tktSzKG7Is5xomZx25MumwQDWWymRIicjKLJ7HaSnAk7QsIzKuH7SXQCIknX6HZ559Zs+G9tT2Xbtfdmw0jqgFHs91+4YA73UuIHV7/ppd3ie285DXarQYhQKpEjTuSytZMLix0mnxUhWaLWt0OwHsFPAFY4vnyFDakh1oc2BX5IlMq+RU4gCuE7RK8L2Imh/ieyGdUcjXn5T82a1tPnnPHKOkhe/7zPmCad/Q9C2NwNLwC3DXAkkQSIJUmrjEUOpMpAD3PZf5PHrWcvcjDcLII2jaNQFmThy5BndEEEYKz9O89qYeH/tqn/2nmgxrbjTD2LP4MXiRwQsNSknnW0uBFLIY7kNxPBMjiY2kEWg2TQ/5N98z4MqLxnz01hYP751iYdhkpHw8T1PTgrqEIBuwlNmr0hU+5QVronT8UyafLM4qM3pGUJOOWPa60N6ixObk9UaJgcgKQgNjIwgt4EmOr2zi3/7uCe/Dv/GGT8zOdl6wtNJb+BszeHumLpfP77v55JE7p/y0yF7rJK2tsEhjsNbJFGUFdkKTF3KkKkvyewbsVKKUGbxS+ON6dByT5yllk5d7Ot1t0SpxAFdJLke0juj0I+59WvChL7W59dEpljstZL1Gq66Y9ixt39DwLA3fUvdJWdsxdz2Q1HxFzRfUfNIKPZOC2xB4Tn8rPebAKTjdqbnESqpvq4mTon7G9UE6kMdGEoaaTW3BpTuGPHUiZhB5jNMZ336IA5/KJutmiRqQE3Ua2cWT2ZBR4urD3/3aIW980Qpfe6zHh7/c5uG9bZZ6DTrSp+9rfCXwpSCQuB5O6XapU6K4SJVIy37XYfA19SuTTF4iNEMp8LSChIy1HXPHBiLrAB6XwA8CpTRJFPOJz9wxFRluvvrqy77ENxge9I01+Phk0K4Pf3/af7IpGOdz78DmW/cZI9BWppKkAHgZ3JXnJtOhJYCXDkiFFyrSxFYK9J0sManmNiiZuIH4mZshIxZ6MXc9ovnivS0+e/cUF7pNRK2G1/Joa5jyXCdP3SOVHVD3RXqXaclpqrt9QZCxdwZwHeP7MTU/xNqI2x8NOH62zoZZgSdNqmNF0ehbYjtbslCTRDEce+zcJHjtDQM+fX9IP/IYRoKa5/pV/XSyVLFKqdyvdnPUKY6rFa4vNWtUMM5vrwdj3v3qIa+/aYnP3NPjC/c2uOvJFhc6DYbCZ+hrtKfQwo308KTEEzaVWhaFKEnDqn24DplXXLCCuUUegCYlxo7zexnU5WSIw3CMYjWW3Prw6eYrX2N+f+/BM1cCw/9pgK90DSvj4fdHyx+a3rLxMDbWxEnpA6cAd+BVeVF8DvwUzLbyeyVwp18UK7BrhImoBpQlYLsBnU6SiBTgWif4OqJWixiNE/afhmNnFH9x2xRferjNhZUmeDV026OhJC3P0tKGumepe1DzHLhrnptJ6MpMZeku0p/bFOQmB7nvufa0w2cMTx0NwPPSZd6WUvSigoJyEObqpQVx4sY5X7N7zFXb++w73WBYEzRiQRBZxorU2jMpe2duSmZBFlol99lNlnRT6fQBj1HoUa+P+cE3jXnrLat85ZE+H/9qg2Nnauw73SBcDYgDzUhrpHJTfRWg08eMyXPpQhH8r7nlbkoBakMBakPG2tnPXONzLtptUuoVNWnBl6RvBMcWezzx9GNsmPvGu0c8J8AXVlZFGIY//QcfOTx96SbNzZeG3HhZ4uqIPTChGwPgmFulDC1LwC8DWxa6G5GCmtLjBLyzSD3XfC6p4SSJSXd5SAgCt6LEScK5JbjtDs3hU3XufLDO6ZU6h880IQhQDU1NK5ra0tTGuQieG5xf89y4Ngfi7C7Tu0oBTqq5U3B7CYHn2NtdWCFHF2DvsQaerNqDuUShqAfPHYXMSTFpX2PscdXOIZduHPD0kZhB7NGKBGMNfuxmAqoSwKUUCCkrTA6T9pvIg9msjzJKPMaeT7se8k/fMObl13Y5vdLl9od8jpwM+MqjDc4s1UiGHkZqIl8hpHQrRdqVL0kznpDLlvVAXgk0KWepM7cl06imdM+AnaQNrBZig/AMUiW86LKQmy8Z8crLbt/w+jf+7//yZ37w0PuEvmTd8O05Af5fP/h5ojjhY5/rQ7yN3Zt7XLN7xCtvHHHV7oits4ZLdoYoJEkosRRLYhXomRRJgV1i8Yytq5/MliL2grVzKaISvCAhSixHTgqeOqK47cEGTx/1efZone44YBwG4PmotkegBA0FDW2ol3zgQGd1GlnZrKsLD1JZ4vsK35fpBWAL7e0lLrPoOZ1f8yOsCTm/LBnbAK0lvrToks02QeA5yBNb7XcMYw+BZn42RKoR/chjoIVzOqKiYEwrU8lASlGKYrNhRxQxUdZalg1G8hKVj58YjH02z4RctCnixovHDMMhP3S0w9PHfG57oMZTR2scOVEjihUECisVCEkiS9mgPEmxjlapiPNMbpRkR/44cTcGIoMWCXt2RWybjblid8irbhxzza6EHRsl2AvN0dLt3zsS+n3/Uwz+px//MheWeuqLdz0jlPBZjqd54ojHU4dGfOWBkCkv5qLtEddcEfKGm8a85voQrGuLqjdJdbYEI4gjB/gskKwwePmStw7QpPNLPG1BGIS0RKFlMHKMfuyU5M9vDRhEisefrXHoZMBi32ec+KB9UB6qrfCloK6goSw1hRtnptLCI+VY2/eES3qUwe1J/FSWBD4EPqlr4lLmnjb4XpxmRCPqtZALKwm33dei0wuYmRLo1IvPir7EczGbKQWERjIeKzbMKd54y4ivPDzkRKfJ0JNOpmjwYosXZZ516rHLxNmFlGedyPxvGKsrJRNJIvETRaIVsefGPkSR56xUL6LpR7z8mpgXXznm7a8cceCk5Im9HsNQ8dHbGhw954GQDIaaJFRZ+SZWZwCfsIzK6dsKwAFrEIlFGItNgV1vJnieQVjDa24Y84abRlx9ecTObQlTHmxoChLjMxjV6fQbLPVPC916oTqy70vxxVe8+VsDuLWwYbb1e+FocJ2WFulrjKxhEsHCQLOQGI4uJ9z3dMInbouZn42xxnLDZSHvft3IVYIlMD9luP6akGYtXXGsyHNga8+5yIfzdAaCJ57ULHUl9Zrkwb0en7unxihSjCLF2XM+Rmgi62GEB1ojAo2WEl8JatJSS4EdKEugrKsB16nnqwvm9rO+zBzcKu3RFDl7+57B97MCrSRnb9+PUCrkjscUn76/hfK1s9sq+vu5GTzzwpMkczwUo5HHW18y5LNf7/LR26foxzWaqQ73Mh0eZUkZm3cLCSFzgKWTaEpavwRwk4520I7JPa2ItUbHiQO6SlDKDdKfqcW85PKYWy6PsGLMO189YBS5cW5/fU/AQ3t96oFgsat44mmf7kCmKknwnKI833nCtQZef33EhunElVknhne/bsT1l0ZYA/MzhtlpUK4oIw3GNVHsM47chK/+aHzd7MzU74H9iW+Jwa3tAO3273zwU5cfX45VJ0p1s9Tuw0kFNsEYw9gknO8Yzq+6QODAiQafu8NdiTaxTM0Ybr4upFV3dcDrpifLl3rqOqz2FQ8/5dPtKKSWbiaK1Y6ZhMbNBdYgNVJKPCkcmKUlkAZfOiD4CnxVzOhzIBdFw4N2jQBZ43EZ3I7h07JaL2PwpHSPCXSEtSGnF33CcY1gSuKnaW+VVuVVspiCgrxK1mnenW4UYeQx01Ls2BDiixHDOGAYC+raDcHMakiyhJaS5fJWmf8t9zcyp8sU2VNj0uaTQhrFcZLmDVQ6lz0mihNU5HIJWiVIGbN9g0lXDMOVF40I7RCpDZ2O4OGnNKsDicoVSzWorpzptBirWTO8+LqIqRmDjd3KXlfu2DmZqzGxJDSlWM+444SFmh+i9JKyyfLl3qbva584M+xetLVan7KWwe0ZEBfeN+0/8urVlfOM4ylQgEiHTWdRrZzQTBhia+lkS5AydFctZ+9olr7iegAv67f05AiBybZcIK05FaoIcqRMrawM1GnaWZJu3Jr5xqVHnXbSK9Kt98jB7dq6FH4Kbl+Tl5g6Bk9ZXBv8NDvqeRFBEHFy0fCRrzRB+27GoiwleCrgqxJZxq5ZgsyBzQ3WCSOP97xxyGfuGvLs+Rb9xKMRu01pXRWgLTpxVJYTKAd7WeliJoVkqcAru5u8FkZrhZe4eSleCnQli6SZqxtPnwuTDg5K0MIibMKGhuE7XmZAJKnMBES2f8Y65zyvMRJgFEmkyeaxxJEkorA5s9jNVMwKiRCWei0kGZ3iM/fsf/W11597nzHxT31TBl84+edoJf3TZ/cTRilr521MbpewfFCDLWuq1Gu3pviZsiReCdzr4jtjtwzg1eBFSJm3oCkBnnBp5UC4akFPutdaktZUpN3jWSGRpjQHhXRntqKrvgC4zGVL4Nu8pc33TWlwToyXsrevI6QMOX5OsNCtIbQmkFTkiSx/rdLpLkuHCvBSpyOMPebaY3ZuHrLv3JhhohklECQCL7F4carDY3JnqUihq0qnQhbbuRxF1lUlStLIoBNDoiRKZ9uXq7RYLUEqk64UprBmU5CL7G/jEn9C2tz1yoCeOWDrAbxI7hVxWWZKMJk/SUGf/V76DjU/ZLVzgD/4i8/4UqzN96wB+P/1obMoJfj4bTVW4xoqUK4+oXSCDCL3Nss2kCucLAP5m8kS0q6cUmG9EEiKFHE+ZllYPJGCNpUA2fP8vZTsi1JQ8gZbXwkH9gq4pXv0M6BnwWcK7qz7R5tconja6VPfj4iJ+MLX65xfqONNKfxyDUfZQWFCkZZT16XqyyzpMxq7CbZveWmfrz85ohvXGGhNPTaEaTpdyaIgKis4E8JQdA5lgabIbUlnHaYzVSwkSqRFcoJYCXQi013sXC1PnAK9SKaZPMEmpSkl3tLnsgzu1ObN94p5jvNfKrTLYJuNkMvctywLWv6PCOF2nKj5Ae962QI79j+IlJaPfiOA/+Gf3spsu/ay//KRu286u3SGZt2xoieq1WOZeZ+nXCl1XGem/jeGdX7S82o1kSqhNJGgIbfaVJoydvNNCo2rMmBnAz1TeVIGdj4HReH6EdcDeBZwZrpbZ7LEpnq7WkvuexG+F3KuY3j0UB20j07liS4VKGXZPjGBcHecSlV3efWczD3xKPK44ZIxc9NDOisNBrGiodzOGJ4ClbgBSioqAxwH8vwPyYlKTZH2TabFccqQGIFnBImSJMqQKEGcgrxcvJaVQ2QbhckSqLOSCYFJQU5a0pzhpqQCysUYlfqVMpuXPnMJ5JNXiRRu0OdMHd72kqmbbPMfvWzhxDvunb/oH60P8HEYsdy13zFXs9dP6wjP0/mfL6dfM4O+stwiSkyeGvqToE7tk7KZlF3lWVasAEcxKH+yhFNntRFpDXhW6umai7NOFSdLVN69UgA7a7517J1qbk2utzNL0DF2AW4vr06MEER8/p6Arz/dQgYaXwo3fzuvICza6IqKv8lsZrUwLQugEqMYjjxuuXrId768xx99vkWYBPQTSS2xjGPSlatc9WdSOWcmLqjnYnIwWqa9kCIHd6IkShnH6FKmoyVMqRS5XANkC5BXss0Zkxdsm39rsZbMyyP3ihqWqmzJn+e/WPybJIkJYv/66Xr/O6yJ7l2XwY8cPcXMVOuNf/qXt/2T7vIF5pqAMEUtd0WKVGcBmlI6sqxIyh9osm6hDO4MALIECklR81AebZAxt9uCJHtNyuDkbVgVFk+7YTxVBbcbpzDB3GnPpp+2t3k6aziIS/eIkIiP394msQEqz16WA8yirzFzNioanIl2PSPddKgkCzY1Ao93v2bAn35hzKqJGCY1honAi8lZXEqLjEVedObswsn1U1JYk6IEckGi09ENKgW5tijj5Iobs+cqGF32WOalyYVFWa7uLMqY86aUHOiFVFkL8AoNVkGe/7wsVUrj5KwgSXx6oy7Uxv9k68VvvLOzcvorUzPbqgAPo4jBaHzJeNTfY8IuU3WfMN2prKj8IpcgZRYvLzXfRHG7L50xeUme5ECfKM8s7wZR1pwZ6MuzPZQShRZPK+4qw25SYGslCicltwNdx71rTLYpcxcBpi6xd+CFPHpIcvBMDas8lJT40qAn6zRKAnzSRcnueaeTESW/2oE8ij32bI246uI+9x+oEymfYSyoSfASi45FKt/SLpw41eFIJxcqf1KUWFyUpFExyiObCamVyWdIqlT6FeDOaoFsWiaQMTn56iFK4EZkE7PWZ+/1bjZrXqXM4MWql3+PtCw4ihSDYUgwM9pjkvElSRJ9ZQ2D97qrmCQEM6ZRc8UwAkssijYix+LF8J3JCVP2G378IndZLrcUk0AvgVvlNd+F7VZIFuG650UBbhdkirxbXOfglhWAl4f/uG57cmDn2cqcuRN87RI7risowhLxl7c3WFqqIwLtfPfyRThZg1KQU8UizJpvy3XcuTdt3N42G2Yl73ptj0cPtRknNQbKp544LZ6VsypJCu5srTCpJ16OhkrZ5OxvpvMeqx3t7nMok61INn8u823VUw0us/2OMmkii+aISQafaFop0n1rC+0mVQAlQ4OSs5LV2ISRoj8SrKxGLC6uEEej/N/nAP/aV7+M1pJTp5ZoBJph6KZQuStwfZkyOcrhm/F35v8X8mTisQzoMotXxosVjC3LDK5EicUzuSJRugpwX6cDgLxs68A0w6ktXp6KN+nzpHLXynXuPHscPnFri7H0UVKl2cvqhTiZwVyzLGePGYtXelllOmheEySad71hxIe+NODJI3Ui5TGQEj8xqXskkIktHSfr2stEeT016d+q7ltUZvLEgM4tRDfaWqUlASqxxbDOfC6LyC/oeEKPu/NZLpajxOQZyL/ZWl/IkaJIr1AQ5Z2bXZJMs3ffYZ7ce6FS3aQBTp0+z7atGxv/7j/94e6jZ04TJe7QZEGekBZZWiKyM1Rl73XAXH4tJp+v1d7PLVFEDpzJcciyxNhZkJlNbdI62+Q11d5qAtxZ+t7LGpONmxmSt4hlPZ1xeo9QXsjB05pe6IPSqTyxE+Wxkxdu9YBUBxpNeOHpslskfjRNT3D5thFPHgxJTMDQ+NQSV7OtUw2uhNvI1SWWMrY0ZEFmweRFpWfW4a7zwabuvWxgqjakHUQWaYoJAdl0rSTr7s8NgCK4zAPPifOdoWVNw0TFZVoLqgLghdwyWY4RJzG3zffZtGXj7he/+qcb3/f9PzTYML/ZATwanmLlwtIbrtwz83N33Tt0y396XKQk6zMtlTcWH8CWVpnnCign2Tv7mcDlc8pAKIBd9DGqEisqUR6qmYGcokZalUCdP0+TPIrUC3fgdgAuhgJ5ZXlSZm+V9nX6Ics9w//9Vy2WhjVE4Dl5Im1lVSkG53xjzVmZJpDNickZ3DkqcaxpNzTv/a4eX3u0zdLYJ5SaoZT4aQ9lMfIhZfByPb0weRmtxaTgNlgkVWdFpAxu8yA9A7uSImVwJ4mS3EUhlymFDi/aCQuZkgWehVVYOTYTq9z6AC8fsyrYpbS06jGWMWO76eceePTgvSYZfiZn8Acef5h20+PxfSc534nZ0PLxRWHdWbHOH/zmK8yaoKI62HGCtSnS2m5O3qREqQ6myYEtBVIV48dUCdRaSnQqSXQO8Exzmzyo9LTJwe3prP6iyt6eivD9kL+43eOZw3WQHlJKgqw0tmRt5nvEp1/yOasJKdg836miJFNiI9NNnjyu2TPgbS/v8qEv1TA6YCh9AinypI+SgqgU0E0yuSgzeTlrWKqJMQqUdauCscKBO5sSlg5TLcZKFLNoism0Ts4KWZUnubNSwUDx+lu5lc2MyZuUEHgGrbr0Bk+zMhwjGZMD/KEDdeq1gP2nfMK46Llbr58wx/o3r5vK/0GhQ7PCfLtmoMzk38vavXI2zxnymwFcFgBXpRpqndaleORSxFOFW+KVhgMVmtuxt6fd1KqVjuGv72ix2AmglronohSMPYdEQYgqk5eD9EnbLu9plZgkc1M0M23FP3r1gM9+fcRSPyBUmmEiU3tSpO6NKJqxZcGWGbCtLbp+TM7mRW+kzpwVlT5Px14b6UZfZ8e9DHKR7pyXS8lUnrjVuazHxYRcEVWAC4uwz432TClUugey45wOGAo8y+4dhtaswSROkulHnzzA5o0zuz5/28M/fc/yIhvbEk+Xltxv1dsp/ia25B5YJk52CejVu1hfomSJkwqwq7O/yx0ubrg7VXBnOxtkzK1KzL2GwbNxE8XICa1c5vLoMcGB4zUMAULqvDm3qB4sxw+i5GoUX76cHMtBnmvKzCYsHBVjXLCJ1VyxM2TPlhFL++rYxHcsnjiZoksuTsGe5UKvrF5IFnauTdncFj65kcXcyHJso4y7aEy6c0ee0JIFGeXgNiKdpZJpcjEhVcQEHmz+Yh2xMAG/qu6V6fi6SEh6wxYnTw3Y4m386Q1bX/z4yuJrj2mTJAyH482K5I2DzgLTjSAHT+FRfwM0P9fbE3p78jGfFUIV5FV5IkrOhCgFmwWgHYOTjgIu++Dle7qltSqDuwTydL96Ly0Nzdhbpa+1jlAq4gv3tzi4WAe/kCdeybqsXLCsHRexhpUm8wuZZCjvbpaV0YaaizeEvOWWAQ892wDjESdOi3tJmt1NqlKpYM6yJZeC3NrKrJr8uUyfy3RVkdldpNvS2HzccqJcUak7LzYnpiLhU36esnSpvS1veymD+zlcp/WB5v572fY3YawYDLts2G7fmMTjzSYxx3SW9q55MNWQBEG1v25dgNtv8AlKHzBjrjW6ewLUuSSaCNAyQIt1gJ2zuRKlJtwSuNP5hMW2HawFti4GBOUj3rRJQR47eaIi6o2Q+/crPnNHk+HIh4ZGS4EnqtJk8vOXv/O6AGdCf09YhmVfPIo1Uy3N21814ktfH/Dgfh/b9BgmAb4gv9BU/vcLHVxaS3OQl3MWLvhMLzDl2DyRTo+bEmtnQb1Jg0tpREl/i1KgW42hCt1dxAXuPZEDvYy5bx3g5fjGXUhR7DMcaeJYEMYCnSQxcRwjhaFZE2hvHaO99Efzn4nqYVvnb1cvkArAJyVKdaJpEVyKHDT5vDxV2r1BibQ2pQB3AfKsbNaidTFCWaebMGlVBbqXs7W7K+UCTN8PicKEL93X4NkTDfA8hFQpqNK5IaXgUsjqSS2vYqVzUcoKp5NZS5nMrPY50+KZXRiGmisvinnTS/s8cazOOPZJpMfQKPyEic+SeeFMMLh7XFPwqbKLzWCUmzFpLVgpsAqkLfR4vqJKkKY0y9AUq4acBPhkXMIE8L9BprMM/ueK/bLqwzDUjMaGMIoIwwT9V5/5Akopet0urYYHItNgxeznyeh1XVCv45iAqJzYNZqb9UCdMXY5wCx2ICikSckqzBk7A3gxOTWXKClzO8a2OVPr/LF47qXBpVYRgR/y9HHBV77eYDD0oekhRVY5SMkeXCeLWfqeZV7KalEyn7U6SH4i4VMqwAojj1Yr5E0vGfPZu0Y8cSQA7TMyEj/V4sq4DXbL0kAk5Ms5yUQGURVOjlYU0kU6Ns9WlSzIN9aBXZoi0SZM2U1Jz7kpmH0yx7EG4BOgXw/YkwCs2IapJ55YQRJ7HNz/OKdPHSJJEnQSdrBSIIloNnS+MWd5t4VvyRJ8jg9XfHBRuYLXZXFZAntZc+cgd3q7nM1UKq0wTCsKXTtX+lyX54NPgDu9e9kU2rTAX6vY3XWE50XENuHz99a5++k61DRI19DslUp4K6Wx5Xv5xbqsU7pnLJQ3lTtHpRhu6oA+Hnm88poBb3nZgGeO14hjDysUQ6HxEvLPJJKCxYuPsD6TlytElcqY27G5ey2QRuQ6PPf7M0bPVtuUwfOhnRPgrgScFZAXrsp6OHou+JUTZnG6yWwYSgZnB0gVgrXo+VkPJQWDISRxxDgy7mpPbGVbim8d4GINYxfP3QtZBniprau8s0AF2BWpUk7Tl+5qAtyqdNfFJqgZoL0SqDPnxDkm7lGpCN+LePyY5BO3twAfpIcQKu8iUulGqnKCnbLvk8FK5MektPZloKLM3CUNboXbEUOlox/yfeI11mre/Zoht9034uHDbpJAZBSDRKQFXynokgw4pTqQMg3iVg8UFaBnP1Up6I1M9/PJguJMe8uUzYV7zM+hKQ3slKWLv5IAKyRJcby+9UAzUxaZvep2ShYMRm4jLtJSBd0IHCisAc9zWzJne74LIyoyZV3rZuLDFMwtSldo+h6lKasTuruQKiJNFhTWUwbwfE5eGeRpa1qx2ZTb2aEYgF+Au8LapcessTaTKkrFeF5MlMTc+WCdpw7VwfNAuuDSF7Y0ObYcWIk1gZVYe8RKNl12XEXJ1aCqxdNWNqNSRyXRjEOPq/eMeOXNjsWHiWPxsfAZGdCJKAK/JLMLHaAKieI+QLmeqGxdKglWWbdzh8VlP61AWIEVIK0opEopqCzYOz2vpnzhl+a6r5MHcUdprRafDNKrn7kYsxwnEEYwigyWBIFFuw8u8x2x0v++K/WUtlKMvjYZn70SlQ9VNvPzn5W+WG5fTTgm1T1iJupPBPneO/nuxVnzbaXhodi6RKkJcJeG4ufuiUpQugTwVKL4OuLgWcGHv9RiHHnQ8FJ5Qt6apsq7BJedk0pU/RxUZKtAL8uU8uYAxq6nxTXNQPIDbxrw+bub7D/tLr7EKAaJclWGSZr8QaQrsijcitJKYjOgl4AjbaHFZarRpbFY6c6RlcIB3JRipYzJTTmWWmdlKwG67NGXSbACcPGch889ZrOD0q+UlW1k31Tvvuo7Nh07dugXD+97GEFpJ+EU5OU0vRBr/1R1SRGVE1xZlkrMXpUkZfamBPKCrSeLrGSp9kPl7F0CtsyCyyq4s9l+hd5On0tTaO80uAxtzKdub/L4wbpr9xEaJVzmUqc12OXm4rJMQVRZ6TlvFQ0uSnX32Shq44BdAbnEGE048rjh0iHf9Zo+v/NnPkOjwWgiIRkaFyNIk5JJUshCJpyVzEHJC4usTdnbrSrKgk29b2sL8GfgljYlI1tdxTLJMpmhnnRTcjanRBAVYH+TlL4tkolaWVoNwZwXc8stL/jFSy7Z8+Nam7PTvhy8eWllSK3m4aniqoS0Fk2INWn35wL4uhZQ6XmRACi7JxM1KGXgVOrAbUV750AvSRJV0t4q3+mhtBGVshOSJKsUTHJwezriwBnJx77WwM1fceydd+5nf19QGS9cToyVA01RfmFhUn/bnInKmwSUNgrIgG0lJlEkKtXiieZ7Xjvg03c22HvKAxlihWSUeGjSepHsWCcpayVZ4idj7pJ0su61xc3Gyj6bTC9CaUFaJ1syEEvr/oY1qT9u0gC1sjpXwb6uNCm9Vwb0GkaHCrtn30OIdFsWbRFEnDjdf/OFlTPTet/pDmfP9VjuJswrXU20SDFxNVVZvBLtZqxd+cDZhytH0xOypKxjZfV5hcWFLQWXpec5Y9ucxdUEuN1EVpM+OjtQKYPK/G4Vo2SMShk8UTGfu7fJ3oOF9pZCOu8776B5DoZi8rWonovS8pqemkoDcsUTL02k0ka42hRZpPDDSHPlJWPe+rI+hz8WECYKhCYRmqEQ6CS17zLyIXNUROlT2CIETvWStQJli1JRK0tsnt1FNkLb/ZqRDvgmkyklH7wM9jKQ14C9TJZrJO/6zwVZzZJbyQPP0qqP2DJ3nlpjjD55XrG4pBjHhTLLkyxlQE78hW92pVXtoMkvuDYRsH5zQ5W1s9cZa2dgz5g7B7oqM3mhu1UWRMqSNJHF0HylEjwv4shZxX//VJuR9MgmaBVd8+kKUq6BLkuSih3w3LfKSJnUC89a2IqUfVmDi0p9SmI0ceIRJDE/9Y4+f3Vng8NnNKgolSoeQyFQmTxJ9XgebE6APPPmLaDLDeUIpE0lCjZl7cwTNxU2t+nfMVIgbLF6rDUTUuCXyLMMdtYB91q8lY55qvszAAc+bJ1XTE176F0bJA0jWWlLfJ1lB7M9YNbR0M8ZBEzUQE8kcvLnMrvq1gF3CdhigrWzREoV3KaQKLLK4Lrib2c6u6y/S3fpWNzTId3Q8EefbXP6QgBKp9agTOWJrfje+fPSwa6y1AQ5rAd0SlIlbzwo92hmKXyZ3/NmCKlIYs22+TE/9rYev/5hn07kph5ZKxkb5WzDJPscFhJBYRsWIC/+3/1EpVdhOr+peJSF4yOlLRjcls5dqr9tzuDPEXCWQGsy8JYxNMkX64C7+DuCOHFbmC+s+Jw416Y9nEbPT2tspJlta7Qni8q8zKqrMPaEZCm9Vw4QMiarLEWkoJ34cJPMnQG7YG1bCjZtHlhmja9KFUGmlhalTcroJpcmTo6YklTJGDvOH7WK0EHEJz8f8P6/bDM2npMnQuXyJG8qnrDEKro7l2TrqsY1LJ7hqrAKy6DPUvYWY0yxuVee/HFbgdd0zE+8s8+B4z4f/JzT4qBIhGRkXO+mTMgZvCjAyk5Wkbov25UO1IVksTZlc1EUijnScaWutpL4cTImr0tP8WDKJFfBjKjiByrEWgZ5GfwyvYCycdSJEfQSTWvZY5RodGLcl/PS4ZNFHfbajFOhKNcuJ5O+91oraG00vbYwx05IFFsKMtMtustbBqqi2EkpU5IqGZhLTC6L6sBcd+ePbtbg8gr81dcarIwzcDuAZ8OPtKjKk8qqk9llkydkAt9lrZ2BvJy0qMoTiq0XzUSduJQoozBGEyeaKT/hHa8b8Ol7Gyz1FMgIjCLC6fHJ6sLqJffcTO7yQEVSKKtPyYJNm7J4DujUJzeWCcZOS1uFcAxPKmWylW4i8ZNjrgzodQBu0tdJWk0ZS7f6OVclbXiQgnQmdmlbuspVPnklra/D5STo5VqwrwnIym1POWBKIyKkrWjvYj/MtUFlNpymAHdSCTCzIDPb50aX2NtrxHz+jhoPPlXHlLS3a2rI5Em13iRvzSqxd8UiLP1sfRJP2bNkFZa3wS43Q9hy0Gklyha+eJx4aBPz4mtCvvNFAz7yBR9UCEJihWBsNEoItwVJFmiKAtSTcoWSD66yHonMPsxqZ2SpUEy65GCFua0DmS1hwGQklrG1zX5WpPC/MXMXb6wBuyn+rTVpTgeLnpuWiEQx1ZCIVEvYyglYQ0Lrgns9mTIJ7PwikLaQKhOMLcQEe4sqsAsXJX2tLDodMSZl6phIm+rqkiTJHBNZkijSuSeBF3H4hOTDn29xrue7/a6lG/SuBMWODRPxwhrdXdLc4rkOXOlWSfSUmH3NVovZFoyVrnu3f457dNufbGom/OB39rn3qYDD5yWICFAYJCMhS5tIOVBloBaVq7BUZJf9f57NTM9Dmc2Fe56BOZMt2UrsfpbNfhep3k6fZ72ZonjOc7A5ZJ95LUWUMWsthKFhqZNg3XaXTmsHfpq1qsxAKQ5+5T84CeoSoLPnZUAjKC2RVd2dLV35gc/rq0vMrTLAT4A8n5E9+TzJtXee0MnGAasYJRN0agv6fsQ4MfzBX7S5+9G6622T2mlvKV3Xjijmr+SfNVtZyhfzOkxePm5lrK/NYBauRbHHe7l8tlxGm2afM0clMcRSo2LNK28M+fF3d/nlP/AZx9I1ohpJnLoqMl3T3WdzIK8Ax7qWNEqfz72uDnySUuRJIBdgivwCyIPO/KK3a5I/5eFPYh38rGsTrkcWpUIxh11LFJm0216gw9glFVxXueuMMIkrWShXuq25ap4jIKgY9oL0yn0OS7Ay2Gcd9i7tPy/XkyfS5t3ebttsU5IopbG/me5OZ1znwaWM8fyY2x/2+PTdDcahB3Wda++cvfPAdm3mctL+qlz8ZAHnc5+YgslFSRoUxVdWZVWG1VrxxEikcVIlA3oca+qNmHe8csitdw+57WHlbEMkCEkkNMNsFU0/ZVHJl7K1zDwWW/pspBZhBur0c0q3+4IQxWubSpMM6Nn5tUJg8u0H08BTlrA0gZ9ChtiKczeJxeJ42XS+iyWJDTKbarZxOqEuEgZTMbFRhBFEwhXJGFMqClpnbVj3yqNgh/VswEkWF2W9XfaWZcmxyPRvvp96mirPkzsZkAtgazUBdFWAW6fg9r2I1b7l8/c22H+25qSJcCWxItPegtIEKbsG3Pl3y7+/KAH9G+iT/ASRp8gr5bNlqTKR+JmsF5dSIU2CNJporLlsc8R3vrzPg3t9OmGafjVOj7ttw5yadVuHTba0FSfY4pI7+QUpnSGh0pa2gs0zqZImfERaQ54DXeTn3VA6frZg+EmgVyWKXZck8jmZxpIYS5y42TC9QcziaozyY/TOLR26jQ6jzpilrueWwPzqrlaZ5V99nWCgPERzfU/YFrNWcnlSTZYUAWYB7ALcmQ9eBJcyH8xuK4xdCSizRE7ZRZGuU96Q8D++UOf9n2phhXa+d4W9KbS3XOdzTwSUxbGpuk3Pxd6Vqjgm9XfGTGtb2fJNd43BJBIjnS+upCFKPKQy/MTbBxw64/H+T2uiuAC5QTAWEmWyQRKZViiBPAd1qitwi0AOA5Gm9DM2J81sCpGPGZEikyrFiInMKrSipL1FEfQWsUHpOK4Z+VY5jOnQJMfecWIZjQ3nlw3HFxKGwqAfORwi4ghLUqkBscJFyqWG59IfqhbAPDewq1m+CoOXg8rSe5nHnTF7MRMv9b4nHBOZgVtNyJOJPetVuveM0+ARnh9x6Jzk03c26fc9qKu17J3XfJdWF1EkeCqSbOI5fPMkT8HgJdDn9+ou0cZk9R4loMsM6BIjnRaXUhNFCa1mzNtfNeBL99Q5dDZNKrgB1SRCMHRrjfuMJgW3LcBuc1Cnbglp8idfcDInJUvdO/ZWKVgLeVIFegZsObHK58cud12qzF0QqZg4foVEyQgBadm1dcjFu7rofce2ImKPenSewBf5uGT3/dxVmV0va/XROuBe70NnIM4TI2UGtBV5IvLZd4V7koM7Y25RHsyeOSemst2GLMkSKVPHJGVyrWPGkeHWB5p87bG0WlB6DuAT7J0VeSkhqATD+VJbTT9nCBffDNnrMFEO9NLdmDR7mDkpeWlzyuCm0OOJkKhEYoQiGmted33I61485OQXPcbG6fC0EooYzUjgKg5JQ0ghcgM7S/2oHF6Zo5LWigty4FshCrK37pxakQaeFaAXGVWTJ3uKWTlC4Mp6RfZ5SmDPF5n1R7wK3LnytGDHBsWNl0xx2Z459Ctv3L3aXx196cxx+Y8XViRJUqxaufSgOHmT0W0Z2LlbQgHkddk7BzOl5SsDfYmxc2BnQC92Gag6J1X9rfL0e1J6HiOl69SRfsxdD/v8xp9MkVhdOCdSIYR0+wCJIi1fZfCy47M+e38LScwC2RkDMilTbEWuGLKpV2kxligclVyTS+eNC6OJY4PvJ/z8D3fZf0pz10MS44sUsu4LREYxpMyKtiRL1tHkuReerrbZ500DykyHi/QCMBSjJGwZD1D45BNNEJUJWCLLnK8l18nS7azEREhDZ+BzdmX2Szu5fFW94sVev989fni1K358YUWnEau75+CcqMvOS1rXmdldeV+tLZgqF0mV67plDtiyBVhK5JQCyryg6jnAXZYqupLQcb2Wp5YFv/HhKe59rOk25ZGuHQ3poaWgLiGQpJtcVZuL197TBuh8SE51GJFK272kmmiYnjxuKeMVF/1EVrdMBqU5gGJS6pV/ZmHDXEygLQ8+6bM6LNUWpGFmNkW8qDh06BIV4H8rV2vpQsjlAxNu0eTW7Wv3eXI/F9WVjeL9yr9PP2fW/Ox5kmZN0mxrTp0/+4MPP/7Efn3PYw1n5IuEVj1BCo0/qZtlGnGXWXwigMyuujJTl1O0Tl/Zyu9U/OTKthhVaSLX0dzZDgPr3lU5sExLYdPniZ/w4c9O8Zk7mtiawm2P6PS3kLLSb1n0N36DjvkS+xTabS0uym9bqtw4CQj3vNptP9nhY9L5gTZlbmtNUaMiJNIoEqGRw4R3vHrIs0c83vcBTRjEleXYGo8xaWlGll9PnIltsQUo0xXakmY3Ux2bGkDYTLak59qmOru8IGTn31IKMDOMJO4qk9Zpkaxgq5DC7vOUj7c0WcLIkYPnKVp12LnVo91SJAnomq+Lg0uMyXVUsQwX9t2E/Mj/eHX5WQtyOyFRys6JZXIEbwXsmd8tUoCXtHeFwWVSclLK4E6QpdqT2x4K+JMvNhkl6RR8kVmDadZS2Ir2Xjc1XwY6613w60iV52C/bDeDzHtek9HErimhtbKU2ZQlZ0Uo5yjItDhLGhKjCTzDD7+lz31P+Nz2mEzjKpmdXIzVjI1rR8uLSCatwxSpuZQSAkUmTUogz5oeSpo7+50ctBKktRWSSOV1foFkP8tT+hNuiyyV5dqUQbJzEkaS4Ui7LRI9nX4PQzpPu1TcVE5wyPIfWUdjM6Gxyj/PUvPrOScZwMv2YBncotjZS63R4abqgU+yt0yKAFNHDMbwq388xZHTAVYXuyVXtHcmkSrAngA064A5h7Co4vkbCPLJDQSqGc1y8VVZj6+tTTEyrTiUZRZXiMQghEaGhou3Rfy7H+lw388G9EbplzEy/1wJmpFNP2NW3G0KkFsJmBTUltxhUWlAaSV5f6QVmQ63pSRPKWeQ/U6Z9LJkznr4yeSIAJGVBQiR1tW4lcAYS5JY4lgwCt3VYgzoTRs3IKUkHA+Ixsv5cPhiu+iCbcuSpFxIJSuBQeGklP9deWZ0IVFKo3fXlSim5IOXtrFL2Txn7oprUtqdN/W8tY6IE/hvn2zx2L6a87xlxtyFc+KJqixRosraogz2CeZOIyfKQzfX4+s1TD7hnBQNEBTFTNYVM62pNhSOwfOg00gH8kRiRHpPUqliDDdcEfHe7+7wW38xTZikLA55VJigGJtMi6e59hLIc4kiSllO4TbotWU2lyBMwdwynTJrbSFbJo+pzWWJyBeQdcEuRM70ZVtVYImEYTCCLX6Tqek2cRyj3/Vdb6Feb3L40LPcd++XCXxZCvaKZXrSEWGSzVlPkpT/3aSDUgV0AXg7IVOq+zMW7J0Uuryc1Knc08CylvDVBwI++MkWnaHnPMDU80YohBCpc1JkLculvKryudfq7zyyr4RlIn8tJgE9wdpr8F4BuqWcACpYO50Km0mSchJIOBsxkQppjatXiRXtmuFH3zngkWcCbr1fQSNOmTr9hNJtCTIiiykKkFtcaSy5bek87zRWdWW9mYRJO2zK8iVbvZ1NXbVW82nEsmBox9aiSpwlaSxFVoxm05Jit7lttx/yyl3Xcv1119Lr99GNuiaoa1oNwVQjQUhdSrKsBet6TJ2d4OxKndTf1WROSW8LW/XBS6CubFcnih12HcCTqt8tnRUo833VXWApZYzUMfuOaf77J9ocWvJdkXDqd7tHWbB3ySmqgHw9eVKRJhO1888tuQtZO1GLUrB4kVjJGyFYL40/MSQoK8SyJt9UVmRSRViE1MjIsmc25qfe1ePYOc3B0wKrywJLgPRIUpAzAfJMEKtceqV+N6QsLvJAMzMkchafkC6OI8tzckAk1fgmz73Ykh5P/7TJapyyuNiATAyDYUIUCxAag0Lnm2ymKt/znCQo6+Uc1Cl4y3+oWnNi11lSqnKl2Amg7H9XNzFSqQwpmLyku5VJX08mcwqgK5UgZYwfxJzrCH71A20+fXsD66kiHZ9Kk/XYW5UuwLXOSTW6n0zqlC/4QodXAV9h7QmwZ++trUkp6/AM0OUANOv8kWlRU/Y8DT4TQ4zBk85V6YwlP/ebivOrAoIy3QosOmfyQp6kF1r2mLK2kmBNKl9yN0WkQWaVyUXalGBLDS62JEsyMFtRxlt2XG1xKNP/E6aqGKTMVotsxo5AR4nCt7VzYay+0mjOvlHaDkqJKkNXlt4JgFfkyVqAFzq82LtlEuTVHXNNxTkpbx2tShWDSmRs7TKVMnVN3HNXaxJi+NzXm3z1oUZaa5JZgjJl8Iy9i12Dy/MGy2yypiy2pMXLq9okc+fgX69grVyLMlG9mdlz1hRVeuVKQ5m6KZkeT4RAiDTxkzorUkqMVel7EmFdxWGgLW940Yi3vnTAn35JEsbCpW2zDy/B4hFbwSgtO7WiLFPKmtyNbLZpQs7m2tsVZMlSVaJMf5Y9ulW/LEsK/Z23OU4QbLFE2sprN7oiZsumOeqB95Xpdv1cHI1Rv/Vbv80PfO+LVmuBXQ306PvD4Xl8X5YG6pTLVydqSGQ5KKSSmcwaEHL9Wil3LSd2ij0YK2WwFSvQVsBdZu5yR7xOwa11TCINn727zv/5h1McPRekTQxFQgepEVIQSKhJN8hep2Pgstnia4cLZfZhMZg/n3IrQEqZJx3cgNByA7cDXCVxkx2zyXs5oC2XMZRWynL3k5tSkOUaWPO7lThBAMYy20648pKYkxcUB09ol/DJr8bias0ckGL8xeTvTF7Jkxd5+t9Zu2hV/P/Ke7aAbzlZVC0+I91blLSSEAbDiJ27dtJsTf3Mo08eeOBNr3+Fa1kLvCFKGxq1Mc16DELmy2DZlppkoaouLw5wxfdOf1aRKOsFlmJiD/RMpqjCNZElKZKBW5YCyswS9LyEo4uSD36qyf7DAbRULklcYsdp70ya5H2WTHr0rN8xXwo281MuqgHlRCY5l3PZb6yX7HGsbSYSPoWLIvMTXU3fS+F2/ZXC5t64yJldplg0GKEQ1nnj0dhyxZ6IH35Hj4ee8jm2UFqq8qDTyZAYwUi44JJ0hJs15TqUQpfnNSpV1eMYVrqfCVtchBU5Unpf2AmlMBGcY4vGHJM6ToORZbWXsNwJGY1DIO3J3LDparRXBxPTWzmES/hIkiQtvsoGctrqlZjJmMJkn5Qqk6AubzlXBJuitD10BmyRB5eGwk3JCqdKsiR/L2VvlbDcE/zOn7a587FaUSWYZSxTcCtJukNxeQxy4buqEpjXswXXA/6kBf6t3srd9ZWqwnIK22aSxQEqlymiBP5SplMKixEWYdxxNkK510K5y0gYkoHh1deP+Rfv6fIf/3ialWEG7JTMjEhBromlyB2UDOQYB2QywKdkkX3GfM+rrMQlvSBEehFUOnzSY1xuksitwhLoysemujszWKG59JKLeOnN19LrD7JrFBqtLUxtuPrWcLTwG82motUYUw8ifK80Baps35VkxeRzuUZuGCZLXNU6iRulnN1XuCUTXTlrqgOz53EloTOSlj/4VJMPfLJFL/JcIVXG3KlrIoQbM5w5J5WiKoqDPZm9rDD1umCuzrn+VpA+2V2fA5nq8lxm88oU2oqFODmZ1pXTZu1t2QBPY4s9OFsafvydPX7iHT3qJgaTgM0eIzAx2BhrLLGFsYGxEUTpPbaCKBs+bwVxBrh0hENsXOY/sQUQHTBF/n4+qq70PPs9Y0q/U/55kk6TjQXDULA6BKHrnDqz9Bu33HTFrbt2bikAXm/v4PTTPzWYbuw7umnDCjPtVRq1EE+bUldNOXVd7Y+s+NaiyD5mRVKFvTdhBVZaywrGLluAMgO0SlIZkyVyqswtZQye4dnDHn9+a4NulG6QSQbszPeWCFJpkt9toWvTuGHdTOWayJ5cipbfp/RvvhWkVzc2pfRc5HXhmVwsLoJSU3IOall9nY+ayN5T2LS9zViFNYo4UrS05fve0OfKS8fIJM5BXQV7UoDcQmggSsEdp8COU+DGtsysYh1wl0Ce7Sq3HtCzC2AC/OWfRQl0Q8nZvmUhtDx6+OzRl3/PLw0uu3hbIVEATkf/jKDW4J7Hvsj2+m1cdVGN/sgvnazCBy1bN5OSpNCwJQkiLNVEj81lyXoOiiz53uXAUopSlnIiFa+9hCePeLz312d46mCA9WQhS3IGlyVb0OaDfCZ3aljPGlxPplQSO6VArPAJv0W5ss4SvNYqpMTcNnUiHHClLSSLES7ANVY6/9hajJXp77gJWcI4bzzBuvMZWq67JOL3fm6VH/9PgqcOpcGJzD6MKJaTVK5YHNj8kn1ospa2VKJkq6LNXZjUTaGoPclS+U6P2+I4l4ut0tUrq1mpDkyCQQSXXLTCL/3o9bzwhu9gNB5wycf/YxXgtdoWploNjp3exonBJrbMeCSxyhsgMttqPY1dtgRl2TJMI/siuWOrz9cBes7aogzwBJF536oAtkwTOtoz9Kzk9z/V5PG9AYkqsbYo6k2gZAtWQF2uaCxYeXLu4JqxEBP6EYrX3wp52wlglxFuy32alffLzD5RM27dOGM3+Eak1lma2RRpCCtkautKp8eNJcGgheWGK8f887f3+fnf8ujFAjzIi0iyZkoEGEUiBGHWxmaEy7ikjxbXjJwZhDady5YlgWyJQFxmMws4iwtDTAK9pMmz46qks3fnm4ZXXe7zwkvnmZ/bQhL18+OaA7xV19QC79DNV7YOL5/Zume500OpYoRveceu9WpKyv62WOd1laknQZ7KGGHy5y7oTEqAT9J6lMQxuYhRIkF7CQMDH/x0k098tck4A/MEcyOcRZcXVD0He5e97zWMLQpgV5M5Igf3WmR/M3kyyd4lYEBFh5sUDJOMXkgWm4Jb5qwurECkNSrCSuc5W+uemzTotK5QyReWd71uwN7jmg9+qkU/wh0wk9Ju9phCODGyCCTTVL2rkXFAViKrVSlAPZkEyktq0yOV7dEpbGl6WOmQZuek6D+w1KxlMNjE4bMbD2/eExwah3F+TPN/e/Hu7TD86ldedbP86MtfJAi8IaOxZhQq4sSxQsFQEzZfmXnzIDPT2IXfPVkGW+jwcjayKHmVZWuwBO7cQdExvRA+8Jkm/+kDbS4seXltd7nWxN1Fib3tmmzlmpkt5fJfJsBefj3B2pWfiW8M7gzV5UKr/L3KS0GRcS4CzErKPpslTunnRlSclaouV5WtCt0IOMXmOcMv/kiHf/b2Hq0gdtGcTUp6PHKPNgFrMMbp8ZGB0KSa3LgNobIAM7YuGM2DzTQgLV6XgspcZ4vcBpwcXyJT5vY11DxBfxRzpt9g3ynvo3/4p3d8ZWpm21oGB5ifGyJbfOG+B+O3HT9Wu75Z0zTqlsBL0ivJ/YlyoClElZkrVYMyXUyf83cLzV1mbikmAszMFhSl8leVIGuWz3yhwa/9UZtzy56bgL6GvasZS0+UCsnExD47lAA9ydwln7uSji/xtJh883/yVs5oFuAX+Rvrp+6LbKexwm2jLQpgC1t44kJkrE36mMkVx+IYTRRatswk/OKPdlnqSj76+RbU0qVjDZO7m0ES4bKYvigVXeEGcmYMTsreJmXffL+frOQ2W6EymzBrasblKFQaBkoBWgl8D2q+ZOe2OrOb7OOdMV9IoqRyTCsAV+338OP/4j/ci516uOGp6y/elm11bbC2lNCZ0MzV7pwSkHNWNMXPKheCKYAvTRXYohxgVsEtZYIKDIdOaT7y+SZnF3znd68BtituF6nmzpwTnSYmJjt1yo3QOZipypI8eMyKf8qY/tZUSQ7mb/jzUuFVtjflmt7N/FEU3nMG7EyHG4FBIIVrVi6kSRFsuq76zB9XxKFly4aE93zHgPue8Dl82ocg/WLGrgtyi0sIZV59psVN+jOVSi6Jm5Fojc3tdotIgV0Ub9n0gnGjRgRFG7S7SekajNtNydW761x9afCwMY/e++bv/rfPDXCAm67dCUKysnAUrXqlQJIJeVF2O8qAntTmZQY3pWRPltApBZSiALcoyxRRzlgmKN9w+Izm//i9aW5/pOYaKCted9n7dp53NgZCy7Vae71hPpXfyTvA15EpZF3hIsd2VaZUpcx6Lkl2VWQkshbAJX/ckrO3A767AEQaYK5XlCVwkkAYmSaJZFqoZBBGZiEriVBumDwWM7K89oUjfuW9HX7p96Y4ctZ3DAF5AsgN9c6ArlKQp/GCKdwqUu0tc12eZjZLQae7Jor3RB7Auv++ADeMSlRXujgyDMYB1t+FNWYNUawB+Nv/0euQSoUPff0zLF9YwfeKncukqtaKlLttxHqgnggqyz/PmX8S4BVwJyVWT10Tz3Dsgubf//4Un7i1QSjSzelzxq7qbolj76LOe53ttyvlvRP+dgmcOYBLv1O2A78hcZd/OEHfGeAFa7W4eyyVzGavS3XiZKCvZDaLRghpHISNcCAXeSY0A3wR/WPK6QAALYxJREFUxWaSJTaWmo559+sHJAZ+6b9NcfxC6qxkwMvAXWFzdzFlKXrS3k5D4axI0u1QUuBnI90ymWIQadVhenGQnQCbliW4IT9hBB1jMGqOq1/w6jCOq/JkXYBv2rQBqZs/e/Hu7VeJ6Nirk3iA1uQbp6pSZ42S64O4CuS17xfMXdLgwqYgzsphk1TClNLwOuH4gsfP/+4Un7ytQSjTnV/FevdyxrI0vD4ln3WlCRPBZgm5k/53BdSTtP03uE3iulwXvjZt7/5otrdPxuDVxggK/V3R4WWQS7ImXEE25kHlDcVxDJ5O+L43DdEKfuF3pzl+wSedw1y9CI11FJtmiw2CkHTupRR4JVcoY2+ZputlSWvnfrcoUv6K9GIhdfMSd6iNMXjtBlu377xj+/btP7u43F1zXOXkG8prsffJ27pCNfZL5SVaW3xt8HQyse11dVxDOeWuyo5KCdSV7OSaZE5VjghRfj9GqoQzy4pf/G9TfPLWdcC9xhZ0RUierHbprMfeGZjLlXwZaUxq8QzQkwFmdrYroP+fQPdkgDnpixdvCqdrS1nMTO4YqkP07YSTUplzaLJpWcXWKFlK3xrlXBajiGOJTuBdrx/yf763w5a5KM9slrOcxb1wWKyFOM16hka4e/pebJ3TkjkoufNiSxu7pu9FiXNkIgNRIohiCGOXqvd9L5lq1/d/8jNf6c7PTX1zgGe3aNx/b61Wf9LTFt+L8b3EgVwn6Ti0bCTx5CxAMzFarXpXotRHKZKKLClr8CKgjFHKkHiCP/psi098uUGoyoDWE48lcIu1GctJ3V3V1QVA1xsPUfa/19PXxYB28T+L72o2c01Sp+p7l9P6uSXIWgYvd/0UTRIO1La054+rWRE5yBObWojWpfRNItGJ5d1vGvCjb+ujk6SwD9cFuQN4GeQj41L8WXrfpfjd63Kq3wHZ7bgdlWzHKHFAD2MYx4Jx5L5bs9l4crXTf+9zHdt1AX7VC96AFONkftPFdroV0aiFBH6E78Upkyd4+d6SRRf7GidkwtvOgCxKzF1UBZZT70XbmVIGtOAr99b52FcajGXa9i/LgC6xN4U0KfbVKQGaMtCzju60NnsCtOWET0bKZa1dBnT2C2vKZL8VcJd+sSJTSqy+xjUh88WZuADS6VdlYBtRZfUJ0JeLsRyDpz55mc0TSWAs3/vGAa9/6RCRmMIbt6X6lTVMnuQZ2cikxVpWOKBbcmZ2IE8LuHK2dsAOE0GYONYeJ4JxDL1Q0Is0V16xxw6GYfLOt79p3eOrn+vAX3LlS7DJ4GMrJ+65vLvaayZGpWxbaG7yjh8oZsZVA07KejzV2mtsQZGk/81SEkckSG0QGv767ho/+7vTPHskSBuG1wF2ObAUWbZyMrCsJnKq4yAmUsQ5Zqtb4U3qlkrqfgLU3xTcE2nMtfKk5IH//9r78jg7qjrf7zmn6u5L316TdCeddFayQBISSSBBWcQPyyAzD0FneDKf+YgjjDwX1BEdZ9CZYXnMcx1h1IcL6CgKyiOi8lhlCwHZQUhICOmQtZNOL+nb996qOuf9cZY6Vfd2pxMSA8w7n0/3rVvbrVv3e371/e2wFcuYTVxn0UQSlEXklUf4OABjPZFmRILQwiLb8glwzsIQViEgAmBhj4evfnIIn2XAbx7JSD7OVL0/SfwVF2dqmUEnCkSsLAAcZTJkmosTdYi2TCH8XShkehzjcr9qQJBpLo2sXnXCrYVcasx7PCZFSee6xejgM99kmcV7gwCyh6Qja2onXE9JcN36ut4TKcEcWkYMDYnZuSWoORjxo+BmEtx3PpzG5/+9gJdfV+Cus3VHqQmhSqmE1ZlB82/EQT0O3WhkVUH9X0NpHZPGjdE9zvp48JWVbGIU0NiEiLjsgTrubdqg2Hzc5t6Kuhi6YnNzHWbLGXiN4phuD9d9fAjnrC5LEdyQojSiLPKiAw54mpsLSUk8QSyeTlAJ5F85oNjvUwwHFPs9irIvpTwFx6kr5u69d+1L35w7s2vMWz2mBAcAJ7scojYITp5Bgu5BMuGBscBEFnJlC+LC/rlthxAikttQFKN4BspcGCjwh+CGA9z5SBpf+HYBL702FrhpKMnVrHcNNakv3qOzcOIpYOOC3cZszITYIHjQQvvEeXi8/rqR1tb2MC5FSnXjKYxI89AmLp0+cWmuowx51MupipkQ9SFEUGlIUckSsmB8GCWDGrBwhoer/24IQgB3GUl+oBkdml8EJwiIUowRepH1rqHCDIU2yRBcSpATAj3tWZx2wly0NRdw5XgYHu+SMrnJ1f0Dgx/LN3X+osA2Z9OpGrgAPE93+FKzWxWms38n+VSSN4VSLi/QktxmPQlCLq6ADofgN4+lcOW3Cvjj64nG4EZMetN4rIlOYLBiThCV3nWUJKIwxsAcBzuiiQ96BkTfHhjiuiR3HT1BCFzJExDaw2HTD5ujhxaVUMoLQ0ukmdACuzYbauuKMmyb70BVtzIKEMFk1ozeWhNYNMPDdZcPgQvgt4+lQ7v4mABXICdMWY7C5A6CcCEMMBNS8nMZC0N8OTE5Y5h1wqwRgH5sxrRJ1fHu77gAHynv5ZnCzCeHKqcP/fyeJ7N+1cOUZg8nH+cjk3JRrbrwiSNTmdRNCxFu28ZDCU4t+kIsJw4jAQjjEIzgd4+n8NlvFPDy5kQYX1Lngo+Cm5LQoWObA+vjvOMJvPbTxlIqScgFQ7CTiJTXUDaAH4u3xNbFWIi1gRiRFQ+ljSqdFrjtycCtU6g8ToIQ6BEbua5xqLi49LRIKa7TE4lu36A4OYW0a2ugkpqPBdM9XP8/hiAEwT1rUwjQCORaekec7dByO3I/Il9UZRXVaiimR3Hy8hFMKfnwghw+evGJQz3dM57cOzBQ776cKMDdVAcSqeSeJ15h5z/+6jkP/vyXD7m5fAVXXLQXl55bRiIB8JqiKdGGGJZjhxuQ25ybWM4dpiS3YAT3/yGJT3+1gPW9Gtw0nPUR5VJzjjBDx47zjva0rAewceygXpJHQV6/zmA3tp+9/mCHiP2Z9dbKOgcnLElN7Akgos4fEgZmcVXwXicmN0qDC4EOE6NLlCSnUEKVCBDOgBrH/G4PX/vUID7uAw/+oQHIhZDBNDaHIfrLqd+ybsYLaYnxqsg6ZXzk7H244i/LSDEKJN/tJYuj52dKhT1tLWMrmPHLqBvZdApPvPA6li2Yvu3E5fNey3R0YNdICdfc3IEf3JVCwAM4TER/dHVxtveSEF5nQjSZ8FpyOwT3PJHE5dcXsWFLAqbMVJ3FxLEoigxSiFATxLNzbO9lI+k9FmWpL7vWENA28OMzIHJPxgd3I/e98Vgizre1Pdy2kWu7t943ajIUsPI3YZsREdrDjTOIxhRTXV+FhvZxbUoMKESNYM40D//+mUGc9q4KWBCoLOADKJ6agghef0eEAAKBFPNx8dmD+PxFFWRZBgGfgkzT4tfS+TnbgsoGEJI8dIADgOtQ/Oq3j29JkeCSD556DJqyDAMjeTyzPo39o7JeLlc3xAaCDXLbeRMqlSpxweUQDnDfk0l88n8VsWFrAuJACqUuJmKBm5HG9bwPmHZmspPqMdpQ2YxJ8ih4RWQ/uX1seIu6BfXWEuM2BQk/QatdCh/WPgbcepIgWvrD2MUNyC1gG+sJUb+p9m5qsIcgF2ZZOoVElWDOVA9f//QgTnlXBTRQxmxh53fyxiCvuwmaAzIUUsCSuT7SqRR27c2jLFZheIRdsqv34S0H0GoBHICiAMDS+d3Yv38E2WxmRz7FHn7yqfWrt6UHsGwRQ9JJouq5CAIZSWb4tgFCLA7F2LylB5MlBXr3MKx9LoGrvlPAhi0JiMQYNm5dz5po8MtAKkNNgLrsnDFpCnTMt2gA+OgkMCi2vJmmqGbsyWWku6gH/0SkuJHk6kTC4uPGJB7j4FIps2iKEDEuDqNkSlCL0IVPNXfXCqY0s4YhAERxdaq4NwehoTUGchUAJTw8jnndHr756UH803c51j2bRO8eB0gg3Jcy625ZIYk6/NjcVwoBFwNeFo89X8KKWRwgnSjmj3u4tXP1Dq82CieZOSDADzwFAFx99dU4YfWZ/fl8djifDC4oOltx9gogn6ao1lyZra1/VAOmaAkIQm1riQT3hu0urv5uHt/4aQ69u11ZO3BMBw6zwB3GeCdUrIldtN6x65trTm61A2EkjDsJK3JF1zGrelXYfU4Vi6S6lh4JHyaEmD/znlrriL1PY2vOQb0CiNT0o9GJGadfgF3yWhiMkQbn0lOy0dOsMTdDCNAAaG0O8O7ja5g0KcArGx3071M/gpwK1onsi1cJ4VRGP6cIkGQEgIugkkTGcdE9fSVaO7o/M7Tv9UeKzT0Tge6BJbgei+ZOQzqTfzKbqN6xYt6O84rp5zEymkTAiSrDFsBBoG6QluJamQyUsqnAnRLYuN3BV27M4/Z7M6gEVBqvxwW3XVdQ/oC2Kz5CTYDIa7xQf6N10fDXkH+Y1Q188OHvHdMy3+SI61v1nknoNjbRIC0C477nkBWkQsmu11vKp7KYEITn54KAIkxihpCT0qYwJiPBDpPVNJoA1A/QUfJx0VllJBMCX/52AZu2QyVNBOEX1F3f1HehRNYBTVOBBJMWMJ8DuwcotgzMB03Pv6OpZc6TQ0NDE76XB+TgekydOgUpZ2jLsmXLP/H01vSae59LYs+gi3IlhUo1Ad93JG/T125ZUUKlMgBLCGza5uKqGwsS3GBAko0P7AbgNnVNIOqbtcZ5tf1KrfeIbVdAjsSgGFrSgJPHKQqxAH8oSLaOjSc82LtHrShRpdKsaxB/ItfB4tyKjiAalCXPRyOcnRtdy87jtHI7bU7OGYKKjF05/7RR/NNlQ+jp9GRwSSRGJYDO+QEknUhQgZQjkHMFCkmBllyA807xcObJfM3kqcs/sXHz3i3F0qTDD3AAyBU78bM1a3u7uk58cc/gMXhuQx79g2lUag78QN4QmeZvWU6oFV+S5Hh9t4N/ujGP2+5R4HYa1S+J05IQlVpyx4vVM8v+HX1Ei7rKsCrgweyHuu314I4/miP8Ok62D1Kaa+4d4eGxV7sClp18bG+vq04roueLWlgsUHMSBTOn1qSwFE0L5ELYYLdBzlT1LAeBT5ESAhecPoqrLhtCd7sno60aKpzCANKlAhlXoCUnsKBL4Izje3DaSatezJKHemfPmnpQ93bCFEWPxXM6MWnylOtqg1t7hvoqFw6O7EEmrVzlgFXAJ5pq5oFj3fMp3Hh7Fr+4N4saUZm/NpARe6/BbaFGe4Qj3korSaFRnmWciti81wY3UA/yiESOSe+4omlj/GCHAWKEfhDYYt4olQboinroojp2jIoQYf94wNQXMck7goAZZ5FOXoYqyRzSE/nBOpFZn1NNBmg6o5RQ3RFFfSClQOADCcZx4allIABuuD2LZ9anUDWURtdc5qaNPIGERjYp0NPViqbSvFsThRXX1Qa2H/R9PSgJDgDHzOvGY48+MNjWPvVvmkvJRxIugasDrnRXMyvFzGE+RiHww7uyOO+zzbj13qxMVnBiuZNjgltbTxDJzgmzcqJu+YiipSMb7VBYKwIyqoQhtH3HwF4n3c0BYwPaPu+E0B3bub5moX4fSu4Iw7FMg3GJbs5jS/g6SkKsSUIj9vADS3It/ZkxIQYm5NaB7zM4nODC08u48/p+XHz2CLJElaTguhRFgEAIVDhBVYXHClAESDwyY0bP36x99IHBfKnroAF+0BIcAM4+6wxs7322jNnvrfVt/gmK6SEkkz4oUb3gmQ+H+kgmPYwEAj9ak8U/fLeAgWEXpmuqFSQVebUBboHbrkgVsZpYILQLxdQ5cex9GoG3gVFAozeU2nasSZRtawtJPdLHwLTlfRwX5BY1EkJZPyIOHxGZBPK8DeJUiE5ji4Jcejflk1fzcR33QqA8mzrJWBBQyCL7MjmSGksfVQWBOAdAOAiRdQe1VUkEBJRwtOYDXHPpIBjluPnOAkZqxBgYBKEY9R30BQSjVYGOtiacddbZtd7dvHzSqtMOBaqHBnAAaJvUAwj+RIouWLn+lY3p5mwZHSUZXew4Hlynho27CO58OItrvl/AwH5X9aW0gWst2+sif/IeOkDUS0ljdATRwj2mApcNYljcOw7ycV4bcnESgn48PJMxt8TAjDhIrfX6fWybmQRW9KCeCLLVSOjdJEIY73jcshKWm1A4FrrOuMp0h2w0q6W8saroCQAVQ04laZHTX0aZEyXdKREQlEN4AUqZAP98yTBSrsCa3+ewsQ/m9+eco7lURXczxYqVS0bnze15gtGDJhpvHuBuogAhBr9IC2eKWx5841NLuh5N/eVpAiABkoka1r3McNX3Cvj98xlUAxdwbSpCQlDbdtFYjImGhaYmEcUSUSeOMQsiDI0Nwd9Yatu4i9OTENcNXPbxm9FQyZw4ExeAClVtcJgx/8WBrYFsHxaG2QoRO9ZIdm1lgSzQox09VJagMJKdWE4hQFU2UzdTt0cBBxXyFZClKExdcqIdfyqZQggZpkukMtqU8XH1x4ZxxolVfPl7RTz+EgGIAyIcrFowgCs+NKfSPX/11wVx/qGllD1kgE/I0TPW+PKXrxXZ9pMf7mpNs4UzxMqm9ADLZctY9zLB399QwgNP5RHABVzdNsRFXUm1eB8PC9xx3s10VSoSdeBEEoppzINpA51G9yPWeu20ia6Damik1lNiTZ7QoaOdQMaJg3A5dPTY71H/R+tpld6/PnY9PAe1IxytySvXCzNx0ejciK8j0aeWeRXRz4WlpwAWdbNEQZ35kpq4Fh3b4joCs6f6mDPVw/peijd2pZBIpHDszGm1VYtnXdeR2/7PLR1LfLyJccgSXI9Lzq3WCJt2LfH21nbu3PKVG9ek6a8ezuHZjWkgZXUT1jw7TnKJKaarfoUQ3IxEowONN9KONYlRk0aRg/GYE1s5HPMHt4+3LjcunS2KXG8hnIgQt6T2WGG0EVrSgKIYumFZU7iQPFiXniA2b1fHRZxBUFwcRHU11hYVhBQF+nNku0IKElInG9hElqWAjsMzhVtlJS0ZicgRcAbH93Hi/ADf+sQQfvagj7ufznLqdn/luY09X71r7b7am8XnxJ+j44wtr/4YbaXkgt89tv25i//xGTY8mgQcZcDXUps04FEk9mtZYoFAZefQsM1IHOx1Md/xFtz2hKANJLotrbVrnoRufa0gUS29lSRnJFwOG1KRcJnIZS3pCdENqcLzxEMDoutUmAENvxetW9b7hL1Gw2YFsUKn+jgSWx9bR6xyfJFy1mYfblrL2PXcw4plUouVAsEy9agJaA9KAtVYLFDHUvQPAWt7zw36yrOPS7CRlz76wf/2prH5piU4AFTJHKRbcq9m8lMu++v3N914y5on6EClBjgJEOrCVdk2QFgTQytEjbQyAsv9jtAKEufbkUThBmloEe4dl8jWnLJ5NonNt0a8PP6ONPgO8sXaHlcMLakdGQ22RRRNex91H4kycNdZT6Altoi+J2HglXHdG0ms9jEc3Zb4RNXg1LUEdbm58HgCqbTqi43WZqFWzJIDhwfSIME8DI9k4eTO4KuXLrxs63Dnq8VE/+GA5uEB+JxZ78ILL75ae997TrxpX9/WTJOb+tqt9+/Ghr525ByCDFMlt4RMNK0Kgpqqi9HomWyb+sazlMSrVNngNXprA6ph/2lARmiKBVKbUdmTwn6NIPIQn4lijGONAkrC/UykYIN1WlqGlpdQEZUpYvYEUJ0VdGQi7EmhqY76hkIo64mkLBCBsaHrcxCir9e2yRPVE0iVpghkuC2FQOAESLg+Xn6D44Ut3ZjSUbjizLNW3+Ts3By0T15+OKB5eAAOAIsWzkZlZGdwwXnnbNqzMz08ULkzv/t3AZoSDBlXZpjUAgIWACSQsz8QDfENQFEF1HskjUQ3FW0BEvFkhmCMVIolUZAiti4C2rhUhw3uqNSup+aHgPCxJLrxXIahsyCh9SSU4DDc3Ah3HUxFVNnhiCQP3fg62MqYCGFPGApwbhrRciFjfwSpl+Ka75se9+qu6NjyIGDwAwbPk3XIuSBIuj48v4bnX2uG03TW8OJlqza9urkvmNMzsUjBiYzDBnAASKbTuPfxvjXH9Kz+u+k9ya/P73ywOSgPwnUZaj5Qrskb5XMNPNIQ4CGohGX6i7rgI8qjBWzEgT6eBEdoOQDqQdtIikfeR3ZuLPknMmxQEgvQWioTC/zhe61AhnZvYjl9zLXaVMJWRoUlYYnVg5PocoXyBNpFL9ujWMCWxVJgWjVoL7LRLIXSLcNUOd9nqHouyhUXnscA+GhpbsKF576nP9m85JMJZ/OarTumH05IHl6AE1oEAOzZO3jLJR842ekqkuvuvf/3bXv3DmGoLCuCjlL9SNNpV+phZhFVM/8bUAdbaTRUBiFobWCbm04ip29oqiYx0NY5e2L7AdHzxVaNsyIcNnjHHRbnjlOVeju5fFOXBEEkdQCxpDgRKqMeMPnFtrMHmq5oR49tSydmskS/r256IM9HiUCgrpkLgprnYHgkiX1DDhKpAqbMWtWXbT7p74PAu4W4Cw8nHAEcQizKREZrSxEQ/g/Oft9JV57xnmP7Zk9LoJhX/RRNWwtACJ3SpKLLwI2iEgE0GvBwxM2FcSkt6mhJHOx2Zo4NehJHriXlzXksy290YYKgjQ/RYNnmxfZma7uwt0fiT0RsnR2IZcWd6OMj7v5YdGHk+PBxIuIXFimyGrZYZ5Qri5OAwwLsHSLY0OuApOf3dU4/8crRSvCDRKp4JKB4ZAAOAIVCAS88+/BNnZPyn1v9rsn9q5eWUeZBWFCxGgCVUcCrAEFVBtxwaVo0mrYFwDE9lA0kd8RNb+1TB9K4ohlTJCM4JfXArZPcRrqShvuMNyIWEnt9HMxxTmeBLuTWunahZa0yQVfxROUomO3sex5LUNZhtKbYp/4c9em6/QxjARzmIelWkctUkE3VZJFWysHcYdzztIdhr7W/xlOf+83dD9yUy+ePFAyPHMABYOWqM1HKDN08Z1bb5ScsbRtmjoeWjEAh6eH4WXuwdGYfWLAf8CsArylpHtbEJiQe+togxxJx+hKjFzFaEoI9CsKIBB8T6KShxNYHxq0s9TuOM2LS2k50QBykESCjsTQ10t0u0BmCGyaKsB7o8cSJSEOrWCKF+ZbqqSklt4dUoopEoowXN3t4bnMN5QrF4P4M9o8GqLmdw7nS5Mu37Ry5+fy/OOdIQvDwcvBGo6V5gLdNp7due2Caf+qS0o/84W2pBbMDnLBoGLnMMG69n+HG25vQXyEyGEv31iShrbu+n06oWJoEBxpaTRq7vGHMgeZHQcxGrYGq942I5XAxaisfB8AHw6+ji3W72H8kdmzE8mEtE3u73t3i3zCTSCqsIDp4CqBcBgtGlgVMFSw7Ljy0bUvHkOt4GPJ83HhbHj+7rxluMo2VczI4ZoqLJcf1VFYcN/kjj64v3N5ZGh23aM/hGEcc4O0zLsW3vnNrsL0/f/uqxf1BMcV+XEq+nJpSyqFUDHDFh4ZR8wZxw20uRkTCPINt+3YkWThuTYmBu84pE+fnqAd2XNLXvcYsMvb6+BjbKdR4NDILmrcaqNa2iBNHW1nsD7OtJPZ2EVpdtKJJIJVGbeDTjwOulilCkOsZQnS3NiHCyWIdSylHTQS46f9k8W//2Y4R3oSWLMO6io/mYldlqDLpoo9f1HbHu58dCo5d/qEjDb8jS1H0uPxvL8QH3jMS9FX+6pfz5xY/3NreVd43nMDAUAYZJ4HzT6liWmdV1wUzkrkumZjEAqsMuMOObhEagqj0jhu1beFt3jewmtRbXEjkaUDsgw9xGHxaVEMDO6JIIlyoc84Y05/eHpph4xMpQl/sP07CLhCCRDpC1HWHUAkQgodcnFGOLdspbnswh6FaBrkMQykVYGbPtDJJdXz47HOX/PLGHw4Exy6/4MgDD38igAPA0pUfwIfec5O4/dfsFzX0fIS4PYMCQKVGsHAux3FzPThKVJpWfzrOREcQqrgKpmI3GI3SlTi44yAM/0gdsOMArfd0kjGldpz6jLXbWKMBfY5ycLPB5uHq1eLBcXDrlaHCGfUwxrOE4hWwOCfKA6mXrYayFrjD4kGSVD63wcEL69OAQ+AQjqXzuwaXL5jykZmJTb/4wnUviMsu+eCRA1psHHGKYo9Jsz6CZ9fejAVzqj8dHJ7uOqTw1crwMy1ObbOUitSFQylS1AqR1XVOLHCzGCWhtkS2aQfC9farHmMpoaGEtyW1NFo3Oofaeig+zHEOJohDPMqlrehBsw5R51ADfh86k/R7Eh4I3QRKZf+o+yMEVc1drdoQgW4iK0C5QBAwBNRBwB1wHoBzBzOmNOP0E+ft7SgVPr0zYD8lTg+uueLI0xJ7/EkBDgCLV34YAFAd3Xczoa7j0/uu3dL7k7ZtfQLMTSLFCNJUwDV9fsJODQ5DNEJwLO48FqKt0chS0siTaUt9a7X6nEOnJBMdoWJofTcRrtc7SU6uPZa2J1S70mMntb+odtgowi/5uXwfChBLgwVACAenOs5EAIHsBuFUU2htKuOEYwv4wHmn91385ys/X635N3e0HRk794HGnxzgeiTTJQgx9P3SlFPI2pfFNf1Dj7YV3REkHSfSZpsRKcEdpqV3fZcGPeK/W1wiC0SBLOzttoWkwbkjoI6T90bjMGLfFvC2Kz40Keq63w0keEMSqqS1fXIjyS3bufocTgioEKCUmo7F8j4K5akkEILB9xlGKwTzpjfj+i+e1jete9WV+yvi+10dRwfch/lnOLSxcVsVvu9fvG7duq/99FcPlXq378XAKIHDCLIuR9IRSDANcGH4t40z25NnvUS9lBGLi1WWzSirVoy3fq+PIVYGDbVLr9nZOcQ6hpjPMVk+Vtw4UVTLdlLZLQzt2O+4I4uqLsDhJI/Gh5tXqr2K4XlM7LhWyKmIzNWQEIUKq9yuP1OYVpEO43BdGQ2YTvigFNg/6sJJtKGl8/R9bVOXfYpS50eEHD1wA0dRgusxqzMJ36vd0n760v5Nr++YeeqK7v/5+z884r681QUPXLhMmsdDLh4CXI+wbHDU86cftxEl0LZn68WYaa+OvzcyER5INhwMKR9jP9trGYacqKAqWJJcROmJCUwx9kWA2Hw+/oSy6L5dFCgEOZH5llSACy5jU5S/IJUIMDxawcubXcw75hSvqcQ+19SxchPnmbsYO+rwOvoABwDHTfAXXnp1zZ+99/xEe9O68vKlIzdc971XyNbXBU25wiiWjAKMEePcATS4BaBiXOTKcNt4SqB+EkdATSzlUm2wJ0HUZjF2cWSBiWE8xpAabBWRc2pFMaTEoXIYsZPHFFBzxjHMoML6KC60xYSoZGOVLUUFBCMQgoNzAc4Jkm6AnUN5vhcrxF5v4ceXHrPoh7t3bK91TJl9BBEz8fGWADgALFowG0I8XgOKtyTzXQ+uXEQ/MDm351+29G4HYxSMSQrgUtngmKrSvwEH/EC36wgr3YXxLBYNHQttlriOlJOADfrQ/j22vTA2jCY4nrY7sfsTnbuNpTjXXNzWRBt9pKY2JK58qi7KHOCq8WrAw7IPDhNwBAenFAERCCoBqDsdzS2lfySjM36xY3/H1h+t2Vz763MPf1TgoY63DMABgJAVADD6v39424b3nrTw2rWp3kSpmPvi6729rFyuSS3dIUi6MseRC6DmCQguZNsMABDSX2R4uFK0ZAgoIiGmcWXUBrGR3kaykyjwJwpMMfa+E1aAGlIVRKQ4sRVEHYBFLJATeTPCoqghN9fXGSjNVQAIOEHNo6h5suMaowLJBJeChQuAJtHe0Rnk8u3/yhNzr313Zmtw7PIZf1K8TGS8qbIRR2rcecfPsXTFOeITl37wwV/e9pNkIUvftXXngFMuV5FNAYWsg3SKwWEEnAvUfAE/CENx9Z/NYaPKGomEAJiEY2opkTS2H7FiVIBoZo9WOOUao3TGS0eEy2FkpB0CUNdt2eb9dTwmOuFCK1CsLAWNKtOhk4yrstcyoVhfu34S+AHFaIVhuEwxWpXvCREo5DhSmTyKHSdVFy//s+u7ZpzwpU9d+j6xYOlfHG3YNBxH3Yoy3hgYGEIhQ1D1xDXrntm08ub/XENbC/5KwoeddMoF50Dvrhq27/ERBDItzgsAzw8dFYwAjIUKqrTGELOsi92zeMY7CYE+FrgBG4gauNarqZ9CTB2VsbLqjTVFAx+IxNbEHVg6vjpqeVH6igKtowAsv796ZTJe22EcjHFjWeGcwPMZvEDnThJs3e1iyw4Gz5ehrj3dJX92N9bOXXQmT2Rnrx2tiCtbSgyp9JELd32z4y1FUeKjqamgF6/87W9/gwvfvyLv1Ua+Ozq89YJaeSeF2I/e/hq2D1C05SQCylWKqg9jFnMVqdZ9MuMjIkEtaW2XhQgpCRlTJIRlAyWJiETzjUfDbYuONYkaasQk+lTiXH4IoQCxK8PqfpioD6MlEEZyuw6HwwI1UQhqHjC4n4FSgbbmYfTuFnjptRya8mnM6uniHZ09t7F8/qMvre8bPu30ZUcbHhMab2mA2+PMM89C364tw46bunz/4LaNO7c+vZCJ3ef97ulnMTxaRHdrCpkEgXB8rN9FwH0HhSRHxhWgXJYhRwPKEtrISYQq1LUqGefaJM/Wyp22dIT1AeXaKMrHSsio86bqzzD/YIBuKJFu9SdgFdhUicSGhodat6534rAAyYSPTKoGn/vYuS+P/oEsMimgq72Mij+K5vb5mD6l6Y6TVx//4swZnd8YKVeG58x663HtscbbBuAA0NbRDQB7Bve+8aXS4gu7vfLTOOmE0nm792zEpFINM7sYZvfsw2MbRvAfa9pBSBIJypFgVl0QRM1ycc6qnTNh350o8OKZNSa2w3ILGimudySwMl+i9udGnNsu8ayH7V2046+NQgyCALq0Q7Q2inHtw7KgUAGHcaRTNWTSQ/iPuxw8+ZKL2W3AtA6B1uZJWLBwNibPXnbH6SvnfrJ/YP+WzimTjzYEDnq8rQCuR7GlC4G3c0s2v/Czxy7I3jJ96rGfqA1tOjktXsTUNh+zOkdx/9MD2Ly9Hc2qT2jECaQQHu+ZyVR1KpuPxxMaRMz8poGkQU6pME4QmZ10gMoBJCrFdfsVW4THa4WHklxSISrT3UFAEGgvpZCJCrqTWn2srfyMVMLDph0efnJfG0b2MbhI4Nhj52PyzFkPOYnENwJ37vODFW/LrJnTjvbPfkjjbQlwAGDuJADYKITYCODFV1/mk1uK076zr++VWdnR37MPnTKEf72lDS4LQ2ntESkeZAFdO5Nst7sxKwudDKD5rYhJchJ2OrAK5dgx3WbEKFKjADJ9XiCM3eaWKRBEle4WBIwqaa4rxepWghwQDCbRQcew6DIOEMBP7knDrxVw0fuXBMuWzN2Ycby/nTH7xB0C2ED/BAFlR3K8bQGuh5KwG4S/cwPn/H2CZDsz6cW3zetbU5jb6WczYhiBkEWGmCVtTatAYw4kpr4go8SA3Hi+NbC4LIMgeBgioMWqsX7o2Gr7OPXXWGprT2GMDiG06evPCrgCOdffX05KweSFUn1tRB4bEALKBRx9jSo5uBZQlIcYUqkOTJvaNvLts98/xIDzZ/RM3cYctoW8zYFt8HG0L+BwDiE4pJGtv/jCSxtXDAw43/vD86/696zd0Lxvz968S3w4VCCbArJpBofJxzpVUtt1CBIOhesQMEYNTQEUWAIOPxDw1SvnAOfRYjtmguiwAioDxxij1rL0xuoISYeFpsw65wsnylsrzZ9+oDp/2ABX53IdIOEIJFxpDtSWIIcKZFIesmkfyYRAOsWRyxeHkTiuv9Q2zxmq+JdkCrMfnzqpaTAIwB3nnQOLt70EtweRFWx5b++2fa3N0+9OsKE53//xz6vfv+H6z9z3wLr//sLLm7zB4fK8QspPpZwqhAAqNUk3mLJVM0bgOBSuS40NHJCA8ghk+w4lQYNAIOC6bYcCm5LSlJAod7b4P4Fdgi6U3tpmrSU85ypfUrUTERzwfMDzhSp1rD4zIBCuPJdg+rySy5dHpcTP5TIoFP2K42RfKbbMdLtmLL/l1pu+9G9nffC6ZGcpV+G8wt8pUjuCiaN9AUd6PPfHLXBdh9z1u0dAHJcVC9kb0qw6pzL8xqq+vl727CujgOAgCFDMucjnEkgnqZG0mhNzDlRrwMioj5FRHzVPIAgEvAAIuJokRIYSuA6BqyaKPI+U3A6jcBwCR0lcx0heAdcVSDjaESPPFwTUSO2aRzBcphgZ5ajWAlNTkFICqp4+6QRBLs2RTXvIphlcF9i0I4XW1s5g6aKuRya3kw216v7LajUeTJt5Ejj3RTo/82j/REd0vKMkeKNx3PxuINTv/H379n+U0HSJ8G1Xv/Tc7YnXduwN0qncUoeK44U/gKRTQy5FwJgDLoCEKwFJCTA8Cuzs5xgdld6/gAM1n6PmSQntMNnMlxHpdNFRfpGelojZvC3l1nUEUgkO1+HggqBak+lihBAkXA5KPfTtExgZDVP1ZLgCgR/4yGcoioUcpna1IeHiqVpt+GlnZDJ796nn1GZNa//C/nJ1X75QONhb+LYe73gJfqDx8zseAICTReCdkXKr5ydZZa7njWDdM+vRVmBoyo6AEh8ARTJZxYPP1dC7LY1SzgElwPa9AQZGCNIJgUxCIJsiyKYpUkmKhBsqr4wSJFyKRIIi4VoxIQRIuALZFEcuEyCX9pFO+UglAwwMJbGtLwVKgOZiBVt2DeG+JxIgnEJAIJV00TUph6mTasg1zUMmU8Tk9uz67s7kbem083+FEA91zjj1aN/iozre8RL8QOOC804BgIcGBwceAvAwhD9z645d/Ff3b+THL+yesWBO5vMD/VsxuD+PScU/Yse+Pqx/rR2TSxlMm+SAJUfwxqsc2/akMbUJcJhAJi0lq+swCCGMQirpB5BwpPT1AhkURlV3gIQTIJ+tYFLLEPaNVLF5ZwGvbWVoLwHFXBl/2DCM/tFunLJsKnYPBpjVMxUpMnjtohkbNs9aeAJ13Ck0lXQ2Abi7qVQ62rf2LTH+ywNcj2KxCQDu1u+F9wZAU03+6Na12xMA+ovelGlTPrUq7b23rSuNtiLF4N51aJ9cw4rFg/j2Ghf7R/NoRQ08COAyinyGY3+Zo6+/BocRNBcd5NIO8mkOxgTe2EUxVBZoylGkXQ7XJehoFRjxPdx0dxNYkILj5nDcspXoauf485Yatu1O3tOcrn0tu5e7S5YswLyZkx8qj1YHuqa2H+1b+JYc/x/gYwzidgHAAIA7AaAy8gYAvDIt5Xc0tzGeTvh4+qlnUfNTWNwzjNse5Xh+A/cuPf+Eq4RfPiebEV5nq8C2vgBBSqCQASY1O2hvZpjSWkM+6yH1agLb+gQ6Sg46WhNue2vq17nUr6/a2UfdZzcVsaiLoVjKoGfWMWgpusi3c7qw6uwiwOa/6plytG/R22L8l+fgh3Pc98AjIIR07OnbXUwlAtHVztG7K8BTGwiacwKTmh20liimtNbQXKjiqVeS6N2pgN+SIu0d7YNCiF1z56842l/lHTP+H72KgTjuBybgAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjMxOjQ4KzAwOjAwRWlaIAAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODozMTo0OCswMDowMDQ04pwAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 60241171
    {'hecke_orbit_code': 63050463536221136, 'n': 1, 'trace_an': 2}
  • id: 60241172
    {'hecke_orbit_code': 63050463536221136, 'n': 2, 'trace_an': 0}
  • id: 60241173
    {'hecke_orbit_code': 63050463536221136, 'n': 3, 'trace_an': 0}
  • id: 60241174
    {'hecke_orbit_code': 63050463536221136, 'n': 4, 'trace_an': 0}
  • id: 60241175
    {'hecke_orbit_code': 63050463536221136, 'n': 5, 'trace_an': 0}
  • id: 60241176
    {'hecke_orbit_code': 63050463536221136, 'n': 6, 'trace_an': 0}
  • id: 60241177
    {'hecke_orbit_code': 63050463536221136, 'n': 7, 'trace_an': 4}
  • id: 60241178
    {'hecke_orbit_code': 63050463536221136, 'n': 8, 'trace_an': 0}
  • id: 60241179
    {'hecke_orbit_code': 63050463536221136, 'n': 9, 'trace_an': 0}
  • id: 60241180
    {'hecke_orbit_code': 63050463536221136, 'n': 10, 'trace_an': 0}
  • id: 60241181
    {'hecke_orbit_code': 63050463536221136, 'n': 11, 'trace_an': 0}
  • id: 60241182
    {'hecke_orbit_code': 63050463536221136, 'n': 12, 'trace_an': 0}
  • id: 60241183
    {'hecke_orbit_code': 63050463536221136, 'n': 13, 'trace_an': 0}
  • id: 60241184
    {'hecke_orbit_code': 63050463536221136, 'n': 14, 'trace_an': 0}
  • id: 60241185
    {'hecke_orbit_code': 63050463536221136, 'n': 15, 'trace_an': 0}
  • id: 60241186
    {'hecke_orbit_code': 63050463536221136, 'n': 16, 'trace_an': 0}
  • id: 60241187
    {'hecke_orbit_code': 63050463536221136, 'n': 17, 'trace_an': 0}
  • id: 60241188
    {'hecke_orbit_code': 63050463536221136, 'n': 18, 'trace_an': 0}
  • id: 60241189
    {'hecke_orbit_code': 63050463536221136, 'n': 19, 'trace_an': -4}
  • id: 60241190
    {'hecke_orbit_code': 63050463536221136, 'n': 20, 'trace_an': 0}
  • id: 60241191
    {'hecke_orbit_code': 63050463536221136, 'n': 21, 'trace_an': 0}
  • id: 60241192
    {'hecke_orbit_code': 63050463536221136, 'n': 22, 'trace_an': 0}
  • id: 60241193
    {'hecke_orbit_code': 63050463536221136, 'n': 23, 'trace_an': 0}
  • id: 60241194
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  • id: 60241195
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  • id: 60241196
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  • id: 60241197
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  • id: 60241198
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  • id: 60241199
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  • id: 60241200
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  • id: 60241201
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  • id: 60241202
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  • id: 60241203
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  • id: 60241204
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  • id: 60241205
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  • id: 60241206
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  • id: 60241207
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  • id: 60241208
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  • id: 60241209
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  • id: 60241210
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  • id: 60241211
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  • id: 60241212
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  • id: 60241213
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  • id: 60241214
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  • id: 60241215
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  • id: 60241216
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  • id: 60241217
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  • id: 60241218
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  • id: 60241219
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  • id: 60241220
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  • id: 60241221
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  • id: 60241222
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  • id: 60241223
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  • id: 60241224
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  • id: 60241225
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  • id: 60241226
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  • id: 60241227
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  • id: 60241228
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  • id: 60241229
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  • id: 60241230
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  • id: 60241231
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  • id: 60241232
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  • id: 60241233
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  • id: 60241234
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  • id: 60241235
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  • id: 60241236
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  • id: 60241237
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  • id: 60241238
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  • id: 60241239
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  • id: 60241240
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  • id: 60241241
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  • id: 60241242
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  • id: 60241243
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  • id: 60241244
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  • id: 60241245
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  • id: 60241246
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  • id: 60241247
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  • id: 60241248
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  • id: 60241249
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  • id: 60241250
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  • id: 60241251
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  • id: 60241252
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  • id: 60241253
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  • id: 60241254
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  • id: 60241255
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  • id: 60241256
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  • id: 60241257
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  • id: 60241258
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  • id: 60241259
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  • id: 60241260
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  • id: 60241261
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  • id: 60241262
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  • id: 60241263
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  • id: 60241264
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  • id: 60241265
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  • id: 60241266
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  • id: 60241267
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  • id: 60241268
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  • id: 60241269
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  • id: 60241270
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  • id: 60241271
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  • id: 60241272
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  • id: 60241273
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  • id: 60241274
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  • id: 60241275
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  • id: 60241276
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  • id: 60241277
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  • id: 60241278
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  • id: 60241279
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  • id: 60241280
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  • id: 60241281
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  • id: 60241282
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  • id: 60241283
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  • id: 60241284
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  • id: 60241285
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  • id: 60241286
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  • id: 60241287
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  • id: 60241288
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  • id: 60241289
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  • id: 60241290
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  • id: 60241291
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  • id: 60241292
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  • id: 60241293
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  • id: 60241294
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  • id: 60241295
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  • id: 60241296
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  • id: 60241297
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  • id: 60241298
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  • id: 60241299
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  • id: 60241300
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  • id: 60241301
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  • id: 60241302
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  • id: 60241303
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  • id: 60241304
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  • id: 60241305
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  • id: 60241306
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  • id: 60241307
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  • id: 60241308
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  • id: 60241309
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  • id: 60241310
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  • id: 60241311
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  • id: 60241312
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  • id: 60241313
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  • id: 60241314
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  • id: 60241315
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  • id: 60241316
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  • id: 60241317
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  • id: 60241318
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  • id: 60241319
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  • id: 60241320
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  • id: 60241321
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  • id: 60241322
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  • id: 60241323
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  • id: 60241324
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  • id: 60241325
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  • id: 60241326
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  • id: 60241327
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  • id: 60241328
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  • id: 60241329
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  • id: 60241330
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  • id: 60241331
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  • id: 60241332
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  • id: 60241333
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  • id: 60241334
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  • id: 60241335
    {'hecke_orbit_code': 63050463536221136, 'n': 419, 'trace_an': -54}
  • id: 60241336
    {'hecke_orbit_code': 63050463536221136, 'n': 421, 'trace_an': 20}
  • id: 60241337
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  • id: 60241338
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  • id: 60241339
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  • id: 60241340
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  • id: 60241341
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  • id: 60241342
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  • id: 60241343
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  • id: 60241344
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  • id: 60241345
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  • id: 60241346
    {'hecke_orbit_code': 63050463536221136, 'n': 479, 'trace_an': 78}
  • id: 60241347
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  • id: 60241348
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  • id: 60241349
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  • id: 60241350
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  • id: 60241351
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  • id: 60241352
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  • id: 60241353
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  • id: 60241354
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  • id: 60241355
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  • id: 60241356
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  • id: 60241357
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  • id: 60241358
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  • id: 60241359
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  • id: 60241360
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  • id: 60241361
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  • id: 60241362
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  • id: 60241363
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  • id: 60241364
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  • id: 60241365
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  • id: 60241366
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  • id: 60241367
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  • id: 60241368
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  • id: 60241369
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  • id: 60241370
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  • id: 60241371
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  • id: 60241372
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  • id: 60241373
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  • id: 60241374
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  • id: 60241375
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  • id: 60241376
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  • id: 60241377
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  • id: 60241378
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  • id: 60241379
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  • id: 60241380
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  • id: 60241381
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  • id: 60241382
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  • id: 60241383
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  • id: 60241384
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  • id: 60241385
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  • id: 60241386
    {'hecke_orbit_code': 63050463536221136, 'n': 727, 'trace_an': 4}
  • id: 60241387
    {'hecke_orbit_code': 63050463536221136, 'n': 729, 'trace_an': 0}
  • id: 60241388
    {'hecke_orbit_code': 63050463536221136, 'n': 733, 'trace_an': 0}
  • id: 60241389
    {'hecke_orbit_code': 63050463536221136, 'n': 739, 'trace_an': 0}
  • id: 60241390
    {'hecke_orbit_code': 63050463536221136, 'n': 743, 'trace_an': 0}
  • id: 60241391
    {'hecke_orbit_code': 63050463536221136, 'n': 751, 'trace_an': 0}
  • id: 60241392
    {'hecke_orbit_code': 63050463536221136, 'n': 757, 'trace_an': 10}
  • id: 60241393
    {'hecke_orbit_code': 63050463536221136, 'n': 761, 'trace_an': 0}
  • id: 60241394
    {'hecke_orbit_code': 63050463536221136, 'n': 769, 'trace_an': 0}
  • id: 60241395
    {'hecke_orbit_code': 63050463536221136, 'n': 773, 'trace_an': 0}
  • id: 60241396
    {'hecke_orbit_code': 63050463536221136, 'n': 787, 'trace_an': 16}
  • id: 60241397
    {'hecke_orbit_code': 63050463536221136, 'n': 797, 'trace_an': 0}
  • id: 60241398
    {'hecke_orbit_code': 63050463536221136, 'n': 809, 'trace_an': 0}
  • id: 60241399
    {'hecke_orbit_code': 63050463536221136, 'n': 811, 'trace_an': 4}
  • id: 60241400
    {'hecke_orbit_code': 63050463536221136, 'n': 821, 'trace_an': 0}
  • id: 60241401
    {'hecke_orbit_code': 63050463536221136, 'n': 823, 'trace_an': 0}
  • id: 60241402
    {'hecke_orbit_code': 63050463536221136, 'n': 827, 'trace_an': 0}
  • id: 60241403
    {'hecke_orbit_code': 63050463536221136, 'n': 829, 'trace_an': 0}
  • id: 60241404
    {'hecke_orbit_code': 63050463536221136, 'n': 839, 'trace_an': -102}
  • id: 60241405
    {'hecke_orbit_code': 63050463536221136, 'n': 841, 'trace_an': 14}
  • id: 60241406
    {'hecke_orbit_code': 63050463536221136, 'n': 853, 'trace_an': 0}
  • id: 60241407
    {'hecke_orbit_code': 63050463536221136, 'n': 857, 'trace_an': 0}
  • id: 60241408
    {'hecke_orbit_code': 63050463536221136, 'n': 859, 'trace_an': 80}
  • id: 60241409
    {'hecke_orbit_code': 63050463536221136, 'n': 863, 'trace_an': 0}
  • id: 60241410
    {'hecke_orbit_code': 63050463536221136, 'n': 877, 'trace_an': 46}
  • id: 60241411
    {'hecke_orbit_code': 63050463536221136, 'n': 881, 'trace_an': 0}
  • id: 60241412
    {'hecke_orbit_code': 63050463536221136, 'n': 883, 'trace_an': 0}
  • id: 60241413
    {'hecke_orbit_code': 63050463536221136, 'n': 887, 'trace_an': -30}
  • id: 60241414
    {'hecke_orbit_code': 63050463536221136, 'n': 907, 'trace_an': 0}
  • id: 60241415
    {'hecke_orbit_code': 63050463536221136, 'n': 911, 'trace_an': 0}
  • id: 60241416
    {'hecke_orbit_code': 63050463536221136, 'n': 919, 'trace_an': 0}
  • id: 60241417
    {'hecke_orbit_code': 63050463536221136, 'n': 929, 'trace_an': 0}
  • id: 60241418
    {'hecke_orbit_code': 63050463536221136, 'n': 937, 'trace_an': 0}
  • id: 60241419
    {'hecke_orbit_code': 63050463536221136, 'n': 941, 'trace_an': 0}
  • id: 60241420
    {'hecke_orbit_code': 63050463536221136, 'n': 947, 'trace_an': 0}
  • id: 60241421
    {'hecke_orbit_code': 63050463536221136, 'n': 953, 'trace_an': 72}
  • id: 60241422
    {'hecke_orbit_code': 63050463536221136, 'n': 961, 'trace_an': -54}
  • id: 60241423
    {'hecke_orbit_code': 63050463536221136, 'n': 967, 'trace_an': 0}
  • id: 60241424
    {'hecke_orbit_code': 63050463536221136, 'n': 971, 'trace_an': 54}
  • id: 60241425
    {'hecke_orbit_code': 63050463536221136, 'n': 977, 'trace_an': -96}
  • id: 60241426
    {'hecke_orbit_code': 63050463536221136, 'n': 983, 'trace_an': 78}
  • id: 60241427
    {'hecke_orbit_code': 63050463536221136, 'n': 991, 'trace_an': 0}
  • id: 60241428
    {'hecke_orbit_code': 63050463536221136, 'n': 997, 'trace_an': 0}